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You searched for subject:(Collaborative filtering). Showing records 1 – 30 of 207 total matches.

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1. Polatidis, Nikolaos. Recommendations in mobile commerce environments: supporting quality and privacy requirements.

Degree: 2017, Πανεπιστήμιο Μακεδονίας

Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload problem. Numerous… (more)

Subjects/Keywords: Κινητά συστήματα συστάσεων; Περιβάλλουσα κατάσταση; Συνεργατικό φιλτράρισμα; Ιδιωτικότητα; Mobile recommender systems; Context; Collaborative filtering; Privacy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Polatidis, N. (2017). Recommendations in mobile commerce environments: supporting quality and privacy requirements. (Thesis). Πανεπιστήμιο Μακεδονίας. Retrieved from http://hdl.handle.net/10442/hedi/44490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Polatidis, Nikolaos. “Recommendations in mobile commerce environments: supporting quality and privacy requirements.” 2017. Thesis, Πανεπιστήμιο Μακεδονίας. Accessed June 25, 2019. http://hdl.handle.net/10442/hedi/44490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Polatidis, Nikolaos. “Recommendations in mobile commerce environments: supporting quality and privacy requirements.” 2017. Web. 25 Jun 2019.

Vancouver:

Polatidis N. Recommendations in mobile commerce environments: supporting quality and privacy requirements. [Internet] [Thesis]. Πανεπιστήμιο Μακεδονίας; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10442/hedi/44490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Polatidis N. Recommendations in mobile commerce environments: supporting quality and privacy requirements. [Thesis]. Πανεπιστήμιο Μακεδονίας; 2017. Available from: http://hdl.handle.net/10442/hedi/44490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Castells, Pablo. Structured collaborative filtering.

Degree: 2018, ACM

Subjects/Keywords: Collaborative filtering; Recommender systems; Synonymy; Informática

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APA (6th Edition):

Castells, P. (2018). Structured collaborative filtering. (Thesis). ACM. Retrieved from http://hdl.handle.net/10486/665116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Castells, Pablo. “Structured collaborative filtering.” 2018. Thesis, ACM. Accessed June 25, 2019. http://hdl.handle.net/10486/665116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Castells, Pablo. “Structured collaborative filtering.” 2018. Web. 25 Jun 2019.

Vancouver:

Castells P. Structured collaborative filtering. [Internet] [Thesis]. ACM; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/665116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castells P. Structured collaborative filtering. [Thesis]. ACM; 2018. Available from: http://hdl.handle.net/10486/665116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Castells, Pablo. Probabilistic collaborative filtering with negative cross entropy.

Degree: 2018, ACM

Subjects/Keywords: Collaborative filtering; Recommender systems; Relevance models; Informática

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APA (6th Edition):

Castells, P. (2018). Probabilistic collaborative filtering with negative cross entropy. (Thesis). ACM. Retrieved from http://hdl.handle.net/10486/665126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Castells, Pablo. “Probabilistic collaborative filtering with negative cross entropy.” 2018. Thesis, ACM. Accessed June 25, 2019. http://hdl.handle.net/10486/665126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Castells, Pablo. “Probabilistic collaborative filtering with negative cross entropy.” 2018. Web. 25 Jun 2019.

Vancouver:

Castells P. Probabilistic collaborative filtering with negative cross entropy. [Internet] [Thesis]. ACM; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/665126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castells P. Probabilistic collaborative filtering with negative cross entropy. [Thesis]. ACM; 2018. Available from: http://hdl.handle.net/10486/665126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

4. Kavitha Devi M K. Development of artificial intelligence based collaborative filtering recommender systems for web applications;.

Degree: 2013, Anna University

Electronic commerce means buying and selling of items or services over electronic systems, such as the Internet and other computer networks. It allows businesses to… (more)

Subjects/Keywords: Artificial intelligence; ASP.NET; Collaborative Filtering; Radial Basis Function Network

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APA (6th Edition):

K, K. D. M. (2013). Development of artificial intelligence based collaborative filtering recommender systems for web applications;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

K, Kavitha Devi M. “Development of artificial intelligence based collaborative filtering recommender systems for web applications;.” 2013. Thesis, Anna University. Accessed June 25, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

K, Kavitha Devi M. “Development of artificial intelligence based collaborative filtering recommender systems for web applications;.” 2013. Web. 25 Jun 2019.

Vancouver:

K KDM. Development of artificial intelligence based collaborative filtering recommender systems for web applications;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Jun 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K KDM. Development of artificial intelligence based collaborative filtering recommender systems for web applications;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

5. Συμεωνίδης, Παναγιώτης. Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού.

Degree: 2008, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

The phd thesis proposes methods for recommending products in web sites. Methods that are used are from the information retrieval and web data mining research… (more)

Subjects/Keywords: Ανάκτηση πληροφοριών; Εξόρυξη δεδομένων παγκόσμιου ιστού; Συνεργατική διήθηση; Συστήματα προτάσεων; Information retrieval; Web data mining; Collaborative filtering; Recommender systems

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APA (6th Edition):

Συμεωνίδης, . . (2008). Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/18862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Συμεωνίδης, Παναγιώτης. “Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού.” 2008. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed June 25, 2019. http://hdl.handle.net/10442/hedi/18862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Συμεωνίδης, Παναγιώτης. “Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού.” 2008. Web. 25 Jun 2019.

Vancouver:

Συμεωνίδης . Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2008. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10442/hedi/18862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Συμεωνίδης . Ανάκτηση πληροφοριών και εξόρυξη δεδομένων για εξατομίκευση υπηρεσιών παγκόσμιου ιστού. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2008. Available from: http://hdl.handle.net/10442/hedi/18862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Cantador, Iván. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.

Degree: 2018, Association for Computing Machinery

Subjects/Keywords: Collaborative filtering; Data structures; Efficiency; Informática

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APA (6th Edition):

Cantador, I. (2018). Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. (Thesis). Association for Computing Machinery. Retrieved from http://hdl.handle.net/10486/675862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cantador, Iván. “Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.” 2018. Thesis, Association for Computing Machinery. Accessed June 25, 2019. http://hdl.handle.net/10486/675862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cantador, Iván. “Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.” 2018. Web. 25 Jun 2019.

Vancouver:

Cantador I. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. [Internet] [Thesis]. Association for Computing Machinery; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/675862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cantador I. Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. [Thesis]. Association for Computing Machinery; 2018. Available from: http://hdl.handle.net/10486/675862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Chavarriaga Bautista, Jesús Enrique. An empirical comparison of social, collaborative filtering, and hybrid recommenders.

Degree: 2018, Association for Computing Machinery, Inc.

Subjects/Keywords: Collaborative filtering; Graph theory; Hybrid recommenders; Random walk; Recommender Systems; Social networks; User coverage; Informática

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APA (6th Edition):

Chavarriaga Bautista, J. E. (2018). An empirical comparison of social, collaborative filtering, and hybrid recommenders. (Thesis). Association for Computing Machinery, Inc. Retrieved from http://hdl.handle.net/10486/666834

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chavarriaga Bautista, Jesús Enrique. “An empirical comparison of social, collaborative filtering, and hybrid recommenders.” 2018. Thesis, Association for Computing Machinery, Inc. Accessed June 25, 2019. http://hdl.handle.net/10486/666834.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chavarriaga Bautista, Jesús Enrique. “An empirical comparison of social, collaborative filtering, and hybrid recommenders.” 2018. Web. 25 Jun 2019.

Vancouver:

Chavarriaga Bautista JE. An empirical comparison of social, collaborative filtering, and hybrid recommenders. [Internet] [Thesis]. Association for Computing Machinery, Inc.; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/666834.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chavarriaga Bautista JE. An empirical comparison of social, collaborative filtering, and hybrid recommenders. [Thesis]. Association for Computing Machinery, Inc.; 2018. Available from: http://hdl.handle.net/10486/666834

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Castells, Pablo. Effects of usage-based feedback on video retrieval: A simulation-based study.

Degree: 2018, Association for Computing Machinery, Inc.

Subjects/Keywords: Collaborative filtering; Evaluation model; Human-computer interaction; Implicit feedback; Informática

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APA (6th Edition):

Castells, P. (2018). Effects of usage-based feedback on video retrieval: A simulation-based study. (Thesis). Association for Computing Machinery, Inc. Retrieved from http://hdl.handle.net/10486/663724

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Castells, Pablo. “Effects of usage-based feedback on video retrieval: A simulation-based study.” 2018. Thesis, Association for Computing Machinery, Inc. Accessed June 25, 2019. http://hdl.handle.net/10486/663724.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Castells, Pablo. “Effects of usage-based feedback on video retrieval: A simulation-based study.” 2018. Web. 25 Jun 2019.

Vancouver:

Castells P. Effects of usage-based feedback on video retrieval: A simulation-based study. [Internet] [Thesis]. Association for Computing Machinery, Inc.; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/663724.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castells P. Effects of usage-based feedback on video retrieval: A simulation-based study. [Thesis]. Association for Computing Machinery, Inc.; 2018. Available from: http://hdl.handle.net/10486/663724

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Cantador, Iván. Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach.

Degree: 2018, Association for Computing Machinery, Inc.

Subjects/Keywords: Neighbor selection; Neighbor weighting; Performance prediction; Recommender systems; Trust; User-based collaborative filtering; Informática

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APA (6th Edition):

Cantador, I. (2018). Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach. (Thesis). Association for Computing Machinery, Inc. Retrieved from http://hdl.handle.net/10486/663725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cantador, Iván. “Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach.” 2018. Thesis, Association for Computing Machinery, Inc. Accessed June 25, 2019. http://hdl.handle.net/10486/663725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cantador, Iván. “Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach.” 2018. Web. 25 Jun 2019.

Vancouver:

Cantador I. Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach. [Internet] [Thesis]. Association for Computing Machinery, Inc.; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/663725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cantador I. Neighbor selection and weighting in user-based collaborative filtering: A performance prediction approach. [Thesis]. Association for Computing Machinery, Inc.; 2018. Available from: http://hdl.handle.net/10486/663725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Australian National University

10. Sedhain, Suvash. A Unified Approach to Collaborative Filtering via Linear Models and Beyond .

Degree: 2016, Australian National University

 Recommending a personalised list of items to users is a core task for many online services such as Amazon, Netflix, and Youtube. Recommender systems are… (more)

Subjects/Keywords: Recommender System; One-Class Collaborative Filtering; Cold-Start Recommendation; Social Recommendation; Rating Prediction; Deep Learning

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APA (6th Edition):

Sedhain, S. (2016). A Unified Approach to Collaborative Filtering via Linear Models and Beyond . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/118270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sedhain, Suvash. “A Unified Approach to Collaborative Filtering via Linear Models and Beyond .” 2016. Thesis, Australian National University. Accessed June 25, 2019. http://hdl.handle.net/1885/118270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sedhain, Suvash. “A Unified Approach to Collaborative Filtering via Linear Models and Beyond .” 2016. Web. 25 Jun 2019.

Vancouver:

Sedhain S. A Unified Approach to Collaborative Filtering via Linear Models and Beyond . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1885/118270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sedhain S. A Unified Approach to Collaborative Filtering via Linear Models and Beyond . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/118270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


AUT University

11. Bookwala, Avinash Turab. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .

Degree: 2010, AUT University

 In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant… (more)

Subjects/Keywords: Mobile devices; Map personalisation; Association rule mining; Collaborative filtering; Content based filtering; User profiles

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APA (6th Edition):

Bookwala, A. T. (2010). Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Thesis, AUT University. Accessed June 25, 2019. http://hdl.handle.net/10292/920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bookwala, Avinash Turab. “Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users .” 2010. Web. 25 Jun 2019.

Vancouver:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Internet] [Thesis]. AUT University; 2010. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10292/920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bookwala AT. Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Todeschini, Adrien. Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux.

Degree: Docteur es, Mathématiques appliquées et calcul scientifique, 2016, Bordeaux

Nous proposons deux nouvelles approches pour les systèmes de recommandation et les réseaux. Dans la première partie, nous donnons d’abord un aperçu sur les systèmes… (more)

Subjects/Keywords: Systèmes de recommandation; Filtrage collaboratif; Complétion de matrice de rang faible; Modèles probabilistes; Espérance-maximisation; Réseaux; Parcimonie; Comportement en loi de puissance; Structure en communautés; Méthodes bayésiennes non paramétriques; Mesures complètement aléatoires; Monte Carlo par chaîne de Markov; Graphes; Recommender systems; Collaborative filtering; Low-rank matrix completion; Probabilistic models; Expectation maximization; Networks; Graphs; Sparsity; Power-law behavior; Community structure; Bayesian nonparametrics; Completely random measures; Markov chain Monte Carlo

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APA (6th Edition):

Todeschini, A. (2016). Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2016BORD0237

Chicago Manual of Style (16th Edition):

Todeschini, Adrien. “Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux.” 2016. Doctoral Dissertation, Bordeaux. Accessed June 25, 2019. http://www.theses.fr/2016BORD0237.

MLA Handbook (7th Edition):

Todeschini, Adrien. “Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux.” 2016. Web. 25 Jun 2019.

Vancouver:

Todeschini A. Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux. [Internet] [Doctoral dissertation]. Bordeaux; 2016. [cited 2019 Jun 25]. Available from: http://www.theses.fr/2016BORD0237.

Council of Science Editors:

Todeschini A. Probabilistic and Bayesian nonparametric approaches for recommender systems and networks : Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux. [Doctoral Dissertation]. Bordeaux; 2016. Available from: http://www.theses.fr/2016BORD0237


Brno University of Technology

13. Koníček, Igor. Webová aplikace doporučovacího systému .

Degree: 2015, Brno University of Technology

 Tato práce řeší tvorbu doporučovacího systému, který je využit v~reálné aplikaci serveru cbdb.cz. S~využitím přístupů kolaborativního filtrování a filtrování založeného na obsahu se podařilo vyvinout… (more)

Subjects/Keywords: Doporučovací systémy; dolování z~dat; kolaborativní filtrování; filtrování založené na obsahu;   doporučování knih; kosinová podobnost; Recommender systems; data mining; collaborative filtering; content-based filtering; books recommendation; cosine similarity

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APA (6th Edition):

Koníček, I. (2015). Webová aplikace doporučovacího systému . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52297

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Koníček, Igor. “Webová aplikace doporučovacího systému .” 2015. Thesis, Brno University of Technology. Accessed June 25, 2019. http://hdl.handle.net/11012/52297.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Koníček, Igor. “Webová aplikace doporučovacího systému .” 2015. Web. 25 Jun 2019.

Vancouver:

Koníček I. Webová aplikace doporučovacího systému . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11012/52297.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Koníček I. Webová aplikace doporučovacího systému . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/52297

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Hlaváček, Pavel. Webová aplikace doporučovacího systému .

Degree: 2013, Brno University of Technology

 Práce se zabývá problematikou doporučovacích systémů a jejich využití ve webových aplikacích. Jsou zde shrnuty základní techniky data miningu a jednotlivé přístupy pro doporučování. Hlavní částí… (more)

Subjects/Keywords: Dolování z dat; doporučovací systémy; kolaborativní filtrování; filtrování založené na obsahu; doporučování jídel; kosinová podobnost; Data mining; recommender systems; collaborative filtering; contet-based filtering; food recommendations; cosine similarity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hlaváček, P. (2013). Webová aplikace doporučovacího systému . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hlaváček, Pavel. “Webová aplikace doporučovacího systému .” 2013. Thesis, Brno University of Technology. Accessed June 25, 2019. http://hdl.handle.net/11012/52694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hlaváček, Pavel. “Webová aplikace doporučovacího systému .” 2013. Web. 25 Jun 2019.

Vancouver:

Hlaváček P. Webová aplikace doporučovacího systému . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11012/52694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hlaváček P. Webová aplikace doporučovacího systému . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/52694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

15. Gráca, Martin. Neuronové sítě pro doporučování knih .

Degree: 2018, Brno University of Technology

 Tato práce se zabývá oblastí doporučovacích systémů využívající hluboké neuronové sítě pro doporučování knih. Jsou zde rozebrány tradiční doporučovací systémy a jejich reprezentace i systémy… (more)

Subjects/Keywords: doporučovací systém; neuronové sítě; konvoluční neuronové sítě; knihy; knižní doporučovací systém; zpracování přirozeného jazyka; kolaborativní filtrování; faktorizace matice; recommender system; neural networks; convolution neural networks; books; books recommender system; book recommendation; natural language processing; collaborative filtering; matrix factorization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gráca, M. (2018). Neuronové sítě pro doporučování knih . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gráca, Martin. “Neuronové sítě pro doporučování knih .” 2018. Thesis, Brno University of Technology. Accessed June 25, 2019. http://hdl.handle.net/11012/84932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gráca, Martin. “Neuronové sítě pro doporučování knih .” 2018. Web. 25 Jun 2019.

Vancouver:

Gráca M. Neuronové sítě pro doporučování knih . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11012/84932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gráca M. Neuronové sítě pro doporučování knih . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

16. Dubeň, Matej. Agregace a doporučování událostí a míst z Facebooku .

Degree: 2015, Brno University of Technology

 Cílem této práce je přiblížit návrh a implementaci Android aplikace "Let's Go Out", která dokáže uživateli doporučit události a místa ze sociální sítě Facebook. Doporučení… (more)

Subjects/Keywords: Kolaborativní filtrování; Obsahové doporučení; Agregace událostí; Agregace míst; Android; Kosinová míra podobnosti; TF-IDF; Collaborative filtering; Content-based recommendation; Events aggregation; Places aggregation; Android; Cosine similarity Measure; TF-IDF

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dubeň, M. (2015). Agregace a doporučování událostí a míst z Facebooku . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/64141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dubeň, Matej. “Agregace a doporučování událostí a míst z Facebooku .” 2015. Thesis, Brno University of Technology. Accessed June 25, 2019. http://hdl.handle.net/11012/64141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dubeň, Matej. “Agregace a doporučování událostí a míst z Facebooku .” 2015. Web. 25 Jun 2019.

Vancouver:

Dubeň M. Agregace a doporučování událostí a míst z Facebooku . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11012/64141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dubeň M. Agregace a doporučování událostí a míst z Facebooku . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/64141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brunel University

17. Ryding, Michael Philip. The collaborative index.

Degree: PhD, 2006, Brunel University

 Information-seekers use a variety of information stores including electronic systems and the physical world experience of their community. Within electronic systems, information-seekers often report feelings… (more)

Subjects/Keywords: 020; Information stores; Information overload; Collaborative filtering; Recommender systems; Social navigation

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APA (6th Edition):

Ryding, M. P. (2006). The collaborative index. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/5481 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487018

Chicago Manual of Style (16th Edition):

Ryding, Michael Philip. “The collaborative index.” 2006. Doctoral Dissertation, Brunel University. Accessed June 25, 2019. http://bura.brunel.ac.uk/handle/2438/5481 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487018.

MLA Handbook (7th Edition):

Ryding, Michael Philip. “The collaborative index.” 2006. Web. 25 Jun 2019.

Vancouver:

Ryding MP. The collaborative index. [Internet] [Doctoral dissertation]. Brunel University; 2006. [cited 2019 Jun 25]. Available from: http://bura.brunel.ac.uk/handle/2438/5481 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487018.

Council of Science Editors:

Ryding MP. The collaborative index. [Doctoral Dissertation]. Brunel University; 2006. Available from: http://bura.brunel.ac.uk/handle/2438/5481 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487018

18. Vu, Xuan Truong. User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales.

Degree: Docteur es, Technologies de l'Information et des Systèmes, 2015, Compiègne

Les médias sociaux occupent un rôle grandissant dans de nombreux domaines de notre vie quotidienne. Parmi d'autres, les réseaux sociaux tels que Facebook, Twitter, LinkedIn… (more)

Subjects/Keywords: Agrégation de données sociales; Réseaux sociaux en ligne; Extraction d'information; Groupes d'intérêt; Système collaboratif; Communauté virtuelle; Social media; Social network sites; Social data aggregation; Information filtering; Groups of interest; Collaborative system; 620

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APA (6th Edition):

Vu, X. T. (2015). User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales. (Doctoral Dissertation). Compiègne. Retrieved from http://www.theses.fr/2015COMP2179

Chicago Manual of Style (16th Edition):

Vu, Xuan Truong. “User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales.” 2015. Doctoral Dissertation, Compiègne. Accessed June 25, 2019. http://www.theses.fr/2015COMP2179.

MLA Handbook (7th Edition):

Vu, Xuan Truong. “User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales.” 2015. Web. 25 Jun 2019.

Vancouver:

Vu XT. User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales. [Internet] [Doctoral dissertation]. Compiègne; 2015. [cited 2019 Jun 25]. Available from: http://www.theses.fr/2015COMP2179.

Council of Science Editors:

Vu XT. User-centered and group-based approach for social data filtering and sharing : Approche centrée utilisateur et basée groupe d'intérêt pour filtrer et partager des données sociales. [Doctoral Dissertation]. Compiègne; 2015. Available from: http://www.theses.fr/2015COMP2179


Cornell University

19. Sandler, Mark Moiseevich. Algorithms for Mixture Models .

Degree: 2006, Cornell University

 Mixture models form one of the most fundamental classes of generative models for clustered data. Specific application examples include text classification problems, image segmentation and… (more)

Subjects/Keywords: Mixture Models; Collaborative Filtering; Theoretical Computer Science

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APA (6th Edition):

Sandler, M. M. (2006). Algorithms for Mixture Models . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/3386

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sandler, Mark Moiseevich. “Algorithms for Mixture Models .” 2006. Thesis, Cornell University. Accessed June 25, 2019. http://hdl.handle.net/1813/3386.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sandler, Mark Moiseevich. “Algorithms for Mixture Models .” 2006. Web. 25 Jun 2019.

Vancouver:

Sandler MM. Algorithms for Mixture Models . [Internet] [Thesis]. Cornell University; 2006. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1813/3386.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sandler MM. Algorithms for Mixture Models . [Thesis]. Cornell University; 2006. Available from: http://hdl.handle.net/1813/3386

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Deakin University

20. Ren, Yongli. Intelligent techniques for recommender systems.

Degree: School of Information Technology, 2013, Deakin University

 This thesis focuses on the data sparsity issue and the temporal dynamic issue in the context of collaborative filtering, and addresses them with imputation techniques,… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Imputation techniques; Low-rank subspace techniques; Optimizations techniques; Rating pattern subspace

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APA (6th Edition):

Ren, Y. (2013). Intelligent techniques for recommender systems. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30062528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Thesis, Deakin University. Accessed June 25, 2019. http://hdl.handle.net/10536/DRO/DU:30062528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Web. 25 Jun 2019.

Vancouver:

Ren Y. Intelligent techniques for recommender systems. [Internet] [Thesis]. Deakin University; 2013. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10536/DRO/DU:30062528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ren Y. Intelligent techniques for recommender systems. [Thesis]. Deakin University; 2013. Available from: http://hdl.handle.net/10536/DRO/DU:30062528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

21. Loni, B. Advanced Factorization Models for Recommender Systems.

Degree: 2018, Delft University of Technology

 Recommender Systems have become a crucial tool to serve personalized content and to promote online products and media, but also to recommend restaurants, events, news… (more)

Subjects/Keywords: Factorization Models; Collaborative Filtering; Recommender Systems

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APA (6th Edition):

Loni, B. (2018). Advanced Factorization Models for Recommender Systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81

Chicago Manual of Style (16th Edition):

Loni, B. “Advanced Factorization Models for Recommender Systems.” 2018. Doctoral Dissertation, Delft University of Technology. Accessed June 25, 2019. http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81.

MLA Handbook (7th Edition):

Loni, B. “Advanced Factorization Models for Recommender Systems.” 2018. Web. 25 Jun 2019.

Vancouver:

Loni B. Advanced Factorization Models for Recommender Systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2019 Jun 25]. Available from: http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81.

Council of Science Editors:

Loni B. Advanced Factorization Models for Recommender Systems. [Doctoral Dissertation]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; 0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:isbn:978-94-6375-232-9 ; 10.4233/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; urn:NBN:nl:ui:24-uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81 ; http://resolver.tudelft.nl/uuid:0b91c68f-4da7-4745-8d08-c39c0bb00e81


Delft University of Technology

22. Shi, Y. Ranking and Context-awareness in Recommender Systems.

Degree: 2013, Delft University of Technology

 In this thesis we report the results of our research on recommender systems, which addresses some of the critical scientific challenges that still remain open… (more)

Subjects/Keywords: Collaborative filtering; Recommender systems; Context-awareness; Ranking

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APA (6th Edition):

Shi, Y. (2013). Ranking and Context-awareness in Recommender Systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55

Chicago Manual of Style (16th Edition):

Shi, Y. “Ranking and Context-awareness in Recommender Systems.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed June 25, 2019. http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55.

MLA Handbook (7th Edition):

Shi, Y. “Ranking and Context-awareness in Recommender Systems.” 2013. Web. 25 Jun 2019.

Vancouver:

Shi Y. Ranking and Context-awareness in Recommender Systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Jun 25]. Available from: http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55.

Council of Science Editors:

Shi Y. Ranking and Context-awareness in Recommender Systems. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; urn:NBN:nl:ui:24-uuid:f7d3977e-f191-40d4-8f27-784a32902a55 ; http://resolver.tudelft.nl/uuid:f7d3977e-f191-40d4-8f27-784a32902a55


Delft University of Technology

23. Clements, M. Personalised Access to Social Media.

Degree: 2010, Delft University of Technology

 On many websites users can personally contribute information, ranging from short text messages to photos and videos. Users can see the information contributed by others… (more)

Subjects/Keywords: social media; information retrieval; web2.0; machine learning; data analysis; collaborative filtering; geotag

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Clements, M. (2010). Personalised Access to Social Media. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3

Chicago Manual of Style (16th Edition):

Clements, M. “Personalised Access to Social Media.” 2010. Doctoral Dissertation, Delft University of Technology. Accessed June 25, 2019. http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3.

MLA Handbook (7th Edition):

Clements, M. “Personalised Access to Social Media.” 2010. Web. 25 Jun 2019.

Vancouver:

Clements M. Personalised Access to Social Media. [Internet] [Doctoral dissertation]. Delft University of Technology; 2010. [cited 2019 Jun 25]. Available from: http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3.

Council of Science Editors:

Clements M. Personalised Access to Social Media. [Doctoral Dissertation]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; urn:NBN:nl:ui:24-uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3 ; http://resolver.tudelft.nl/uuid:8ae9dab3-c7e1-4329-bb15-103a085e0de3


Delft University of Technology

24. Oldenzeel, P.R. Expertise Identification in Enterprise Social Media:.

Degree: 2012, Delft University of Technology

 The increasing adoption of Enterprise Social Media (ESM) systems within enterprises is driven by the need for the explicit facilitation of sharing expertise. Expertise Identification… (more)

Subjects/Keywords: expertise; expert; ESM; Enterprise Social Media; Collaborative Filtering; Expertise Identification; Enterprise 2.0; Expertise Identification; Expert Search; Social Tagging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oldenzeel, P. R. (2012). Expertise Identification in Enterprise Social Media:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5dfaca10-e09d-4d38-b52e-526b8307a17a

Chicago Manual of Style (16th Edition):

Oldenzeel, P R. “Expertise Identification in Enterprise Social Media:.” 2012. Masters Thesis, Delft University of Technology. Accessed June 25, 2019. http://resolver.tudelft.nl/uuid:5dfaca10-e09d-4d38-b52e-526b8307a17a.

MLA Handbook (7th Edition):

Oldenzeel, P R. “Expertise Identification in Enterprise Social Media:.” 2012. Web. 25 Jun 2019.

Vancouver:

Oldenzeel PR. Expertise Identification in Enterprise Social Media:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Jun 25]. Available from: http://resolver.tudelft.nl/uuid:5dfaca10-e09d-4d38-b52e-526b8307a17a.

Council of Science Editors:

Oldenzeel PR. Expertise Identification in Enterprise Social Media:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:5dfaca10-e09d-4d38-b52e-526b8307a17a

25. Rentmeester, M. Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:.

Degree: 2014, Delft University of Technology

 Most recommender systems recommend items from a single domain. However, usually users’ preferences span across multiple domains. Cross-domain recommender systems can successfully recommend items in… (more)

Subjects/Keywords: cross-domain recommendations; cold-start recommendations; recommender systems; Social Web; Open Images; YouTube; collaborative filtering; users' preferences

…domain recommendation using collaborative filtering in a situation of overlap… …computed in two ways, contentbased and using collaborative filtering. Current approaches use… …collaborative filtering (read: users’ preferences) to relate items from the new domain to… …standard collaborative filtering and we should come up with a new solution to solve this complex… …Collaborative filtering is the most used technique to solve that scenario. How this works is explained… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rentmeester, M. (2014). Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0c5d66b1-1470-44e1-b1d6-e02de00c9b8b

Chicago Manual of Style (16th Edition):

Rentmeester, M. “Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:.” 2014. Masters Thesis, Delft University of Technology. Accessed June 25, 2019. http://resolver.tudelft.nl/uuid:0c5d66b1-1470-44e1-b1d6-e02de00c9b8b.

MLA Handbook (7th Edition):

Rentmeester, M. “Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:.” 2014. Web. 25 Jun 2019.

Vancouver:

Rentmeester M. Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Jun 25]. Available from: http://resolver.tudelft.nl/uuid:0c5d66b1-1470-44e1-b1d6-e02de00c9b8b.

Council of Science Editors:

Rentmeester M. Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:0c5d66b1-1470-44e1-b1d6-e02de00c9b8b

26. Barreiro, Álvaro. Relevance-based language modelling for recommender systems.

Degree: 2018, Elsevier BV

Subjects/Keywords: Collaborative filtering; Probabilistic clustering; Recommender systems; Relevance models; Informática

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APA (6th Edition):

Barreiro, . (2018). Relevance-based language modelling for recommender systems. (Thesis). Elsevier BV. Retrieved from http://hdl.handle.net/10486/663733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barreiro, Álvaro. “Relevance-based language modelling for recommender systems.” 2018. Thesis, Elsevier BV. Accessed June 25, 2019. http://hdl.handle.net/10486/663733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barreiro, Álvaro. “Relevance-based language modelling for recommender systems.” 2018. Web. 25 Jun 2019.

Vancouver:

Barreiro . Relevance-based language modelling for recommender systems. [Internet] [Thesis]. Elsevier BV; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10486/663733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barreiro . Relevance-based language modelling for recommender systems. [Thesis]. Elsevier BV; 2018. Available from: http://hdl.handle.net/10486/663733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

27. Sarafijanovic, Slavisa. Artificial immune system for the Internet.

Degree: 2008, EPFL

 We investigate the usability of the Artificial Immune Systems (AIS) approach for solving selected problems in computer networks. Artificial immune systems are created by using… (more)

Subjects/Keywords: Internet; communication; email; security; network; ad hoc; routing; evolution; self; resources; protection; collaborative; filtering; detection; spam; misbehavior; artificial immune system (AIS); innate AIS; adaptive AIS; self-nonself; evolving self; danger signal theory; danger signal; PAMP signal; safe signal; Internet; communication; sécurité; émail; courriel; réseau; ad hoc; évolution; self; authentification; identité; clef privée; clef publique; ressources; protection; collaboration; filtrage; détection; pourriel; spam; comportement inapproprié; système immunitaire artificiel (SIA); SIA inné; SIA adaptif; self-nonself; évolution de self; théorie des modèles de danger; signal de danger; PAMP signal; signal de sûreté

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sarafijanovic, S. (2008). Artificial immune system for the Internet. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/118657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sarafijanovic, Slavisa. “Artificial immune system for the Internet.” 2008. Thesis, EPFL. Accessed June 25, 2019. http://infoscience.epfl.ch/record/118657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sarafijanovic, Slavisa. “Artificial immune system for the Internet.” 2008. Web. 25 Jun 2019.

Vancouver:

Sarafijanovic S. Artificial immune system for the Internet. [Internet] [Thesis]. EPFL; 2008. [cited 2019 Jun 25]. Available from: http://infoscience.epfl.ch/record/118657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sarafijanovic S. Artificial immune system for the Internet. [Thesis]. EPFL; 2008. Available from: http://infoscience.epfl.ch/record/118657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

28. Pappas, Nikolaos. Learning Explainable User Sentiment and Preferences for Information Filtering.

Degree: 2016, EPFL

 In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of… (more)

Subjects/Keywords: Sentiment Analysis; One-class Collaborative Filtering; Semantic Similarity; Content-based Recommendation; Multiple-Instance Learning; Aspect Rating Prediction; Structured Learning; Review Summarization; Review Segmentation; Sentence Ranking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pappas, N. (2016). Learning Explainable User Sentiment and Preferences for Information Filtering. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/217010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pappas, Nikolaos. “Learning Explainable User Sentiment and Preferences for Information Filtering.” 2016. Thesis, EPFL. Accessed June 25, 2019. http://infoscience.epfl.ch/record/217010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pappas, Nikolaos. “Learning Explainable User Sentiment and Preferences for Information Filtering.” 2016. Web. 25 Jun 2019.

Vancouver:

Pappas N. Learning Explainable User Sentiment and Preferences for Information Filtering. [Internet] [Thesis]. EPFL; 2016. [cited 2019 Jun 25]. Available from: http://infoscience.epfl.ch/record/217010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pappas N. Learning Explainable User Sentiment and Preferences for Information Filtering. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/217010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Euskal Herriko Unibertsitatea / Universidad del País Vasco

29. Perona Balda, Iñigo. Behaviour modelling with data obtained from the Internet and contributions to cluster validation .

Degree: 2016, Euskal Herriko Unibertsitatea / Universidad del País Vasco

 [EN]This PhD thesis makes contributions in modelling behaviours found in different types of data acquired from the Internet and in the field of clustering evaluation.… (more)

Subjects/Keywords: behavioural modelling; data mining; pattern discovery; machine learning; unsupervised anomaly detection; clustering; cluster validity indices; suffix trees; sequential pattern mining; web personalization; user profiling; collaborative filtering; web mining; web log analysis; link prediction; network Intrusion Detection Systems (nIDS); tourism website mining; profiling disabled people

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Perona Balda, I. (2016). Behaviour modelling with data obtained from the Internet and contributions to cluster validation . (Doctoral Dissertation). Euskal Herriko Unibertsitatea / Universidad del País Vasco. Retrieved from http://hdl.handle.net/10810/20620

Chicago Manual of Style (16th Edition):

Perona Balda, Iñigo. “Behaviour modelling with data obtained from the Internet and contributions to cluster validation .” 2016. Doctoral Dissertation, Euskal Herriko Unibertsitatea / Universidad del País Vasco. Accessed June 25, 2019. http://hdl.handle.net/10810/20620.

MLA Handbook (7th Edition):

Perona Balda, Iñigo. “Behaviour modelling with data obtained from the Internet and contributions to cluster validation .” 2016. Web. 25 Jun 2019.

Vancouver:

Perona Balda I. Behaviour modelling with data obtained from the Internet and contributions to cluster validation . [Internet] [Doctoral dissertation]. Euskal Herriko Unibertsitatea / Universidad del País Vasco; 2016. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10810/20620.

Council of Science Editors:

Perona Balda I. Behaviour modelling with data obtained from the Internet and contributions to cluster validation . [Doctoral Dissertation]. Euskal Herriko Unibertsitatea / Universidad del País Vasco; 2016. Available from: http://hdl.handle.net/10810/20620


Florida International University

30. Zeng, Kaiman. Next Generation of Product Search and Discovery.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  Online shopping has become an important part of people’s daily life with the rapid development of e-commerce. In some domains such as books, electronics,… (more)

Subjects/Keywords: visual search; content based image retrieval; ranking; hypergraph learning; recommendation; collaborative filtering; clustering; Other Electrical and Computer Engineering; Signal Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zeng, K. (2015). Next Generation of Product Search and Discovery. (Doctoral Dissertation). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207

Chicago Manual of Style (16th Edition):

Zeng, Kaiman. “Next Generation of Product Search and Discovery.” 2015. Doctoral Dissertation, Florida International University. Accessed June 25, 2019. http://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207.

MLA Handbook (7th Edition):

Zeng, Kaiman. “Next Generation of Product Search and Discovery.” 2015. Web. 25 Jun 2019.

Vancouver:

Zeng K. Next Generation of Product Search and Discovery. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2019 Jun 25]. Available from: http://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207.

Council of Science Editors:

Zeng K. Next Generation of Product Search and Discovery. [Doctoral Dissertation]. Florida International University; 2015. Available from: http://digitalcommons.fiu.edu/etd/2312 ; 10.25148/etd.FIDC000207 ; FIDC000207

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