Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Collaborative filtering algorithms). Showing records 1 – 7 of 7 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Missouri University of Science and Technology

1. Deokule, Shreyas S. A conceptual framework of using collaborative filtering algorithms to enhance keyword search.

Degree: M.S. in Information Science and Technology, Information Science and Technology, Missouri University of Science and Technology

"The main purpose of this research is to design a recommendation system, based on collaborative filtering, to aid users in searching research documents online. The recommendation system suggest appropriate keywords to the users which return better search results" – Abstract, leaf iii.

Subjects/Keywords: Collaborative filtering algorithms; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Deokule, S. S. (n.d.). A conceptual framework of using collaborative filtering algorithms to enhance keyword search. (Masters Thesis). Missouri University of Science and Technology. Retrieved from http://scholarsmine.mst.edu/masters_theses/4437

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Deokule, Shreyas S. “A conceptual framework of using collaborative filtering algorithms to enhance keyword search.” Masters Thesis, Missouri University of Science and Technology. Accessed June 19, 2019. http://scholarsmine.mst.edu/masters_theses/4437.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Deokule, Shreyas S. “A conceptual framework of using collaborative filtering algorithms to enhance keyword search.” Web. 19 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Deokule SS. A conceptual framework of using collaborative filtering algorithms to enhance keyword search. [Internet] [Masters thesis]. Missouri University of Science and Technology; [cited 2019 Jun 19]. Available from: http://scholarsmine.mst.edu/masters_theses/4437.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Deokule SS. A conceptual framework of using collaborative filtering algorithms to enhance keyword search. [Masters Thesis]. Missouri University of Science and Technology; Available from: http://scholarsmine.mst.edu/masters_theses/4437

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Youngstown State University

2. Curnalia, James W. The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen.

Degree: Master of Computing and Information Systems, Department of Computer Science and Information Systems, 2013, Youngstown State University

 More and more outlets are utilizing collaborative filtering techniques to make sense of the sea of data generated by our hyper-connected world. How a collaborative(more)

Subjects/Keywords: Artificial Intelligence; Computer Science; Statistics; collaborative filtering; recommendation; model; training; machine learning; algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Curnalia, J. W. (2013). The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1370016838

Chicago Manual of Style (16th Edition):

Curnalia, James W. “The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen.” 2013. Masters Thesis, Youngstown State University. Accessed June 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1370016838.

MLA Handbook (7th Edition):

Curnalia, James W. “The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen.” 2013. Web. 19 Jun 2019.

Vancouver:

Curnalia JW. The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen. [Internet] [Masters thesis]. Youngstown State University; 2013. [cited 2019 Jun 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1370016838.

Council of Science Editors:

Curnalia JW. The Impact of Training Epoch Size on the Accuracy of Collaborative Filtering Models in GraphChi Utilizing a Multi-Cyclic Training Regimen. [Masters Thesis]. Youngstown State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1370016838

3. Κουνέλη, Μαριάννα. Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης.

Degree: 2012, University of Patras

Σκοπός της παρούσας διπλωματικής διατριβής είναι η μελέτη και ανάπτυξη ενός νέου αλγοριθμικού πλαισίου Συνεργατικής Διήθησης(CF) για την παραγωγή συστάσεων. Η μέθοδος που προτείνουμε, βασίζεται… (more)

Subjects/Keywords: Συστήματα συστάσεων; Συνεργατική διήθηση; Αραιότητα; Σχεδόν πλήρης αναλυσιμότητα; Αλγόριθμοι κατάταξης; Πειράματα; 005.741; Recommender systems; Collaborative filtering; Sparsity; Near complete decomposability; Ranking algorithms; Experiments

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Κουνέλη, . (2012). Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/5826

Chicago Manual of Style (16th Edition):

Κουνέλη, Μαριάννα. “Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης.” 2012. Masters Thesis, University of Patras. Accessed June 19, 2019. http://hdl.handle.net/10889/5826.

MLA Handbook (7th Edition):

Κουνέλη, Μαριάννα. “Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης.” 2012. Web. 19 Jun 2019.

Vancouver:

Κουνέλη . Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης. [Internet] [Masters thesis]. University of Patras; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10889/5826.

Council of Science Editors:

Κουνέλη . Ανάπτυξη συστήματος συστάσεων συνεργατικής διήθησης με χρήση ιεραρχικών αλγορίθμων κατάταξης. [Masters Thesis]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5826


Unitec New Zealand

4. Alahmadi, Alaa. A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce.

Degree: 2017, Unitec New Zealand

 Rapid growth of E-commerce has made a huge number of products and services accessible to the users. The vast variety of options makes it difficult… (more)

Subjects/Keywords: recommender systems; collaborative filtering genetic algorithm (CFGA); demographic recommendation algorithms; decision making; ecommerce; 150501 Consumer-Oriented Product or Service Development; 080505 Web Technologies (excl. Web Search)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alahmadi, A. (2017). A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce. (Thesis). Unitec New Zealand. Retrieved from http://hdl.handle.net/10652/3982

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):

Alahmadi, Alaa. “A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce.” 2017. Thesis, Unitec New Zealand. Accessed June 19, 2019. http://hdl.handle.net/10652/3982.

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

MLA Handbook (7th Edition):

Alahmadi, Alaa. “A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce.” 2017. Web. 19 Jun 2019.

Vancouver:

Alahmadi A. A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce. [Internet] [Thesis]. Unitec New Zealand; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10652/3982.

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

Council of Science Editors:

Alahmadi A. A cluster based collaborative filtering method for improving the performance of recommender systems in ecommerce. [Thesis]. Unitec New Zealand; 2017. Available from: http://hdl.handle.net/10652/3982

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

5. HASSAN, Mohammed. New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法.

Degree: 博士(コンピュータ理工学), 2018, University of Aizu / 会津大学

平成29年度

Subjects/Keywords: Multi-criteria Recommender Systems; Collaborative Filtering; Machine Learning Algorithms; Artificial Neural Network; Genetic Algorithms; Evaluation Metrics; Multi-criteria Recommender Systems; Collaborative Filtering; Machine Learning Algorithms; Artificial Neural Network; Genetic Algorithms; Evaluation Metrics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

HASSAN, M. (2018). New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法. (Thesis). University of Aizu / 会津大学. Retrieved from http://id.nii.ac.jp/1257/00000143/ ; http://dx.doi.org/10.15016/00000143

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):

HASSAN, Mohammed. “New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法.” 2018. Thesis, University of Aizu / 会津大学. Accessed June 19, 2019. http://id.nii.ac.jp/1257/00000143/ ; http://dx.doi.org/10.15016/00000143.

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

MLA Handbook (7th Edition):

HASSAN, Mohammed. “New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法.” 2018. Web. 19 Jun 2019.

Vancouver:

HASSAN M. New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法. [Internet] [Thesis]. University of Aizu / 会津大学; 2018. [cited 2019 Jun 19]. Available from: http://id.nii.ac.jp/1257/00000143/ ; http://dx.doi.org/10.15016/00000143.

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

Council of Science Editors:

HASSAN M. New Machine Learning Methods for Modeling a Multi-criteria Recommender System : 複数の基準に基づく推薦システムのモデル化のための新しい機械学習方法. [Thesis]. University of Aizu / 会津大学; 2018. Available from: http://id.nii.ac.jp/1257/00000143/ ; http://dx.doi.org/10.15016/00000143

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

6. Βοζαλής, Εμμανουήλ. Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων.

Degree: 2006, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών

Subjects/Keywords: Τεχνητή νοημοσύνη; Ηλεκτρονικό εμπόριο; Εξατομίκευση; Συστήματα συστάσεων; Αλγόριθμοι διήθησης; Συνεργατική διήθηση; Υβριδικοί αλγόριθμοι; Artificial intelligence; Personalization; Recommender systems; Filtering algorithms; Collaborative filtering; Bybrid algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Βοζαλής, . . (2006). Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων. (Thesis). University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Retrieved from http://hdl.handle.net/10442/hedi/14245

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):

Βοζαλής, Εμμανουήλ. “Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων.” 2006. Thesis, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Accessed June 19, 2019. http://hdl.handle.net/10442/hedi/14245.

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

MLA Handbook (7th Edition):

Βοζαλής, Εμμανουήλ. “Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων.” 2006. Web. 19 Jun 2019.

Vancouver:

Βοζαλής . Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων. [Internet] [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2006. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10442/hedi/14245.

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

Council of Science Editors:

Βοζαλής . Ευφυείς πράκτορες και άλλες εφαρμογές της τεχνητής νοημοσύνης στο διαδίκτυο: μια μελέτη αλγορίθμων συνεργατικής διήθησης για συστήματα συστάσεων. [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2006. Available from: http://hdl.handle.net/10442/hedi/14245

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

7. Kaufman, Jaime C. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.

Degree: 2014, University of North Florida

 Recommendation systems make it easier for an individual to navigate through large datasets by recommending information relevant to the user. Companies such as Facebook, LinkedIn,… (more)

Subjects/Keywords: Thesis; University of North Florida; UNF; Dissertations, Academic  – UNF  – Master of Science in Computer and Information Sciences; Dissertations, Academic  – UNF  – Computing; music; collaborative filtering; collective intelligence; content-based filtering; MFCC; recommend; information retrieval; database; Pandora; Last.fm; music recommendation system; UNF; Databases and Information Systems; Software Engineering; Theory and Algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kaufman, J. C. (2014). A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. (Thesis). University of North Florida. Retrieved from https://digitalcommons.unf.edu/etd/540

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):

Kaufman, Jaime C. “A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.” 2014. Thesis, University of North Florida. Accessed June 19, 2019. https://digitalcommons.unf.edu/etd/540.

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

MLA Handbook (7th Edition):

Kaufman, Jaime C. “A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features.” 2014. Web. 19 Jun 2019.

Vancouver:

Kaufman JC. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. [Internet] [Thesis]. University of North Florida; 2014. [cited 2019 Jun 19]. Available from: https://digitalcommons.unf.edu/etd/540.

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

Council of Science Editors:

Kaufman JC. A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. [Thesis]. University of North Florida; 2014. Available from: https://digitalcommons.unf.edu/etd/540

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

.