A dynamic user adaptive combination strategy for hybrid movie recommendation

Cai Chen, Dajun Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Movie recommendation is a very popular service in internet based movie related websites such as NetFlix, MovieLens. The performance of the recommendation plays the key role in the user experience. Existing works have shown that combining content based and collaborative filtering based algorithms is the best way for movie recommendation. Nevertheless, the performance of this hybrid algorithm is strongly depended on the strategy how to combine the basic pure algorithms. Existing works usually use a static combination strategy which may generate even worse performance for some users. To solve this problems, in this paper we propose a new item based hybrid algorithm that uses a dynamic user adaptive combination strategy. Besides, we also exploit the external open resources IMDB as the movie content data. Experiments on real datasets show that the dynamic user adaptive combination strategy can significantly enhance the performance of the recommendation and the external open resource IMDB is a very good information resource for recommendation.

Original languageEnglish (US)
Title of host publicationProceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012
Pages172-176
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012 - Suzhou, China
Duration: Jul 8 2012Jul 10 2012

Other

Other2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012
CountryChina
CitySuzhou
Period7/8/127/10/12

Fingerprint

Collaborative filtering
Websites
Internet
Movies
Experiments
Resources
Hybrid algorithm
User experience
Information resources
Experiment
Web sites
World Wide Web

ASJC Scopus subject areas

  • Strategy and Management
  • Information Systems

Cite this

Chen, C., & Zeng, D. (2012). A dynamic user adaptive combination strategy for hybrid movie recommendation. In Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012 (pp. 172-176). [6273525] https://doi.org/10.1109/SOLI.2012.6273525

A dynamic user adaptive combination strategy for hybrid movie recommendation. / Chen, Cai; Zeng, Dajun.

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012. 2012. p. 172-176 6273525.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, C & Zeng, D 2012, A dynamic user adaptive combination strategy for hybrid movie recommendation. in Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012., 6273525, pp. 172-176, 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012, Suzhou, China, 7/8/12. https://doi.org/10.1109/SOLI.2012.6273525
Chen C, Zeng D. A dynamic user adaptive combination strategy for hybrid movie recommendation. In Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012. 2012. p. 172-176. 6273525 https://doi.org/10.1109/SOLI.2012.6273525
Chen, Cai ; Zeng, Dajun. / A dynamic user adaptive combination strategy for hybrid movie recommendation. Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012. 2012. pp. 172-176
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