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You searched for subject:(Personalized information retrieval). Showing records 1 – 9 of 9 total matches.

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University of Ottawa

1. Alhamid, Mohammed F. Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment .

Degree: 2015, University of Ottawa

 Due to the rapid increase of social network resources and services, Internet users are now overwhelmed by the vast quantity of social media available. By… (more)

Subjects/Keywords: Personalized search; Context-aware recommendation; Retrieval model; Information filtering

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

APA (6th Edition):

Alhamid, M. F. (2015). Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32052

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):

Alhamid, Mohammed F. “Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment .” 2015. Thesis, University of Ottawa. Accessed August 08, 2020. http://hdl.handle.net/10393/32052.

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

MLA Handbook (7th Edition):

Alhamid, Mohammed F. “Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment .” 2015. Web. 08 Aug 2020.

Vancouver:

Alhamid MF. Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10393/32052.

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

Council of Science Editors:

Alhamid MF. Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32052

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


University of Cincinnati

2. YU, HONGMING. A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL.

Degree: MS, Engineering : Computer Engineering, 2003, University of Cincinnati

 General search engines have achieved a lot in both the scale and the quality in recent years. While due to the explosive growth of information(more)

Subjects/Keywords: Computer Science; personalized working environment; HITS; information retrieval

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

APA (6th Edition):

YU, H. (2003). A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911

Chicago Manual of Style (16th Edition):

YU, HONGMING. “A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL.” 2003. Masters Thesis, University of Cincinnati. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

MLA Handbook (7th Edition):

YU, HONGMING. “A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL.” 2003. Web. 08 Aug 2020.

Vancouver:

YU H. A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL. [Internet] [Masters thesis]. University of Cincinnati; 2003. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

Council of Science Editors:

YU H. A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL. [Masters Thesis]. University of Cincinnati; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911


University of Illinois – Urbana-Champaign

3. Tan, Bin. A study of language models for exploiting user feedback in Information Retrieval.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Feedback is an important technique in Information Retrieval to have users provide contextual information about their search needs, with the goal of improving retrieval accuracy… (more)

Subjects/Keywords: Information Retrieval; Feedback; Language Modeling; Personalized Search

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

APA (6th Edition):

Tan, B. (2010). A study of language models for exploiting user feedback in Information Retrieval. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14599

Chicago Manual of Style (16th Edition):

Tan, Bin. “A study of language models for exploiting user feedback in Information Retrieval.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 08, 2020. http://hdl.handle.net/2142/14599.

MLA Handbook (7th Edition):

Tan, Bin. “A study of language models for exploiting user feedback in Information Retrieval.” 2010. Web. 08 Aug 2020.

Vancouver:

Tan B. A study of language models for exploiting user feedback in Information Retrieval. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2142/14599.

Council of Science Editors:

Tan B. A study of language models for exploiting user feedback in Information Retrieval. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14599


University of Southern California

4. Khodaei, Ali. Combining textual Web search with spatial, temporal and social aspects of the Web.

Degree: PhD, Computer Science, 2013, University of Southern California

 Over the last few years, Web has changed significantly. Emergence of Web 2.0 has enabled people to interact with web documents in new ways not… (more)

Subjects/Keywords: search; information retrieval; ranking; indexing; social; spatial; temporal; textual; Web; social network; inverted index; contextual search; personalized search; spatiotemporal; Web 2.0

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

APA (6th Edition):

Khodaei, A. (2013). Combining textual Web search with spatial, temporal and social aspects of the Web. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/338255/rec/1458

Chicago Manual of Style (16th Edition):

Khodaei, Ali. “Combining textual Web search with spatial, temporal and social aspects of the Web.” 2013. Doctoral Dissertation, University of Southern California. Accessed August 08, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/338255/rec/1458.

MLA Handbook (7th Edition):

Khodaei, Ali. “Combining textual Web search with spatial, temporal and social aspects of the Web.” 2013. Web. 08 Aug 2020.

Vancouver:

Khodaei A. Combining textual Web search with spatial, temporal and social aspects of the Web. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Aug 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/338255/rec/1458.

Council of Science Editors:

Khodaei A. Combining textual Web search with spatial, temporal and social aspects of the Web. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/338255/rec/1458

5. Kacem Sahraoui, Ameni. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.

Degree: Docteur es, Image, information, hypermedia, 2017, Université Toulouse III – Paul Sabatier

Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information(more)

Subjects/Keywords: Recherche personnalisée; Session de recherche; Profil utilisateur; Médias sociaux; Fraîcheur; Facteur temporel; Personalized Information Retrieval; User Profile; Freshness; Temporal Feature; Session Search; Social Media

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

APA (6th Edition):

Kacem Sahraoui, A. (2017). Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2017TOU30111

Chicago Manual of Style (16th Edition):

Kacem Sahraoui, Ameni. “Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.” 2017. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed August 08, 2020. http://www.theses.fr/2017TOU30111.

MLA Handbook (7th Edition):

Kacem Sahraoui, Ameni. “Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.” 2017. Web. 08 Aug 2020.

Vancouver:

Kacem Sahraoui A. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2017. [cited 2020 Aug 08]. Available from: http://www.theses.fr/2017TOU30111.

Council of Science Editors:

Kacem Sahraoui A. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2017. Available from: http://www.theses.fr/2017TOU30111

6. YIN HAINAN. Personalized information retrieval based on novelty feeback.

Degree: 2005, National University of Singapore

Subjects/Keywords: Personalized information retrieval; relevance judgment; topicality; novelty; relevance decision rule; incomplete learning

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

APA (6th Edition):

HAINAN, Y. (2005). Personalized information retrieval based on novelty feeback. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14774

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):

HAINAN, YIN. “Personalized information retrieval based on novelty feeback.” 2005. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/14774.

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

MLA Handbook (7th Edition):

HAINAN, YIN. “Personalized information retrieval based on novelty feeback.” 2005. Web. 08 Aug 2020.

Vancouver:

HAINAN Y. Personalized information retrieval based on novelty feeback. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14774.

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

Council of Science Editors:

HAINAN Y. Personalized information retrieval based on novelty feeback. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14774

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

7. Duan, S. (author). Personalized Microblog Search on Twitter.

Degree: 2014, Delft University of Technology

This thesis describes our approach to microblog search personalization. The approach uti-lizes implicit information about the user’s interests to personalize original search results. We first… (more)

Subjects/Keywords: personalized search; microblog search; user modeling; information retrieval

personalized search approach can become a solution to this problem. By collecting information related… …to an individual's preferences, the personalized search can improve the retrieval… …approach as well as the source of individual information. 2| Current personalized search… …understanding information needs and search behavior, various retrieval models have been proposed to… …with a concrete information need. Thus they propose a retrieval model which incorporates term… 

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

APA (6th Edition):

Duan, S. (. (2014). Personalized Microblog Search on Twitter. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d19a1d28-e3eb-420a-a872-5a40baadcc09

Chicago Manual of Style (16th Edition):

Duan, S (author). “Personalized Microblog Search on Twitter.” 2014. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:d19a1d28-e3eb-420a-a872-5a40baadcc09.

MLA Handbook (7th Edition):

Duan, S (author). “Personalized Microblog Search on Twitter.” 2014. Web. 08 Aug 2020.

Vancouver:

Duan S(. Personalized Microblog Search on Twitter. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:d19a1d28-e3eb-420a-a872-5a40baadcc09.

Council of Science Editors:

Duan S(. Personalized Microblog Search on Twitter. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:d19a1d28-e3eb-420a-a872-5a40baadcc09

8. Bouhini, Chahrazed. Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process.

Degree: Docteur es, Informatique, 2014, Saint-Etienne

L’émergence des réseaux sociaux a révolutionné le Web en permettant notamment aux individus de prolonger leur connexion virtuelle en une relation plus réelle et de… (more)

Subjects/Keywords: Recherche sociale personnalisée d’information; Modèles de recherche sociale d’information; Collection de tests de recherche sociale personnalisée d’information; Profil social de l’utilisateur; Personalized social information retrieval; Models of social information retrieval; PSIR test collection; User’s social profile

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

APA (6th Edition):

Bouhini, C. (2014). Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process. (Doctoral Dissertation). Saint-Etienne. Retrieved from http://www.theses.fr/2014STET4027

Chicago Manual of Style (16th Edition):

Bouhini, Chahrazed. “Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process.” 2014. Doctoral Dissertation, Saint-Etienne. Accessed August 08, 2020. http://www.theses.fr/2014STET4027.

MLA Handbook (7th Edition):

Bouhini, Chahrazed. “Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process.” 2014. Web. 08 Aug 2020.

Vancouver:

Bouhini C. Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process. [Internet] [Doctoral dissertation]. Saint-Etienne; 2014. [cited 2020 Aug 08]. Available from: http://www.theses.fr/2014STET4027.

Council of Science Editors:

Bouhini C. Impact des réseaux sociaux sur le processus de recherche d’information : Impact of social networks on the information retrieval process. [Doctoral Dissertation]. Saint-Etienne; 2014. Available from: http://www.theses.fr/2014STET4027

9. Bahceci, Oktay. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.

Degree: Computer Science and Communication (CSC), 2017, KTH

Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet,… (more)

Subjects/Keywords: Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding; Computer Sciences; Datavetenskap (datalogi)

…a recommendation, the information is often personalized to the user at hand and the… …information and creating recommendations. Some systems leverages personalized features of the user… …measures. • Precision-Recall In the fields of pattern recognition and information retrieval… …Information Filtering . . . . . . . . . . . 2.2.1 Collaborative Filtering . . . . . . 2.3 Content… …Information in the form of computer interpretable data is parsed and processed from one endpoint to… 

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

APA (6th Edition):

Bahceci, O. (2017). Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252

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):

Bahceci, Oktay. “Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.” 2017. Thesis, KTH. Accessed August 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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

MLA Handbook (7th Edition):

Bahceci, Oktay. “Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.” 2017. Web. 08 Aug 2020.

Vancouver:

Bahceci O. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. [Internet] [Thesis]. KTH; 2017. [cited 2020 Aug 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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

Council of Science Editors:

Bahceci O. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252

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

.