Integrating the anchoring process with preference stability for interactive movie recommendations

I. Chin Wu, Yun Fang Niu

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

1 Citation (Scopus)

Abstract

Many e-commerce sites employ collaborative filtering techniques to provide recommendations to customers based on the preferences of similar users. However, as the number of customers and products increases, the prediction accuracy of collaborative filtering algorithms declines because of sparse ratings. In addition, the traditional recommendation approaches just consider the item's attributes and the preference similarities between users; however, they are not concerned that users' preferences may be developed as their familiarity with or experiences during choice or preference elicitation grows. In this work, we propose an anchor-based hybrid filtering approach to capture the user's preferences of movie genres interactively and then achieve precise recommendations. To conduct this experiment, we recruited 30 users with different types of preference stabilities for movie genres. The experimental results show that the proposed anchor-based hybrid filtering approach can effectively filter out the users' undesired movie genres, especially for the user who has unstable movie genre preferences. The results suggest that the factor of the stability of users' preferences can be considered for developing effective recommendation strategies.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationInformation and Interaction for Learning, Culture, Collaboration and Business - 15th International Conference, HCI International 2013, Proceedings
Pages639-648
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - 2013 Aug 5
Externally publishedYes
Event15th International Conference on Human Interface and the Management of Information: Information and Interaction for Learning, Culture, Collaboration and Business, HCI 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8018 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Human Interface and the Management of Information: Information and Interaction for Learning, Culture, Collaboration and Business, HCI 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/2113/7/26

Keywords

  • Anchoring process
  • Genre-based fuzzy inference
  • Hybrid filtering
  • Interactive recommendation
  • Preference stability

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Wu, I. C., & Niu, Y. F. (2013). Integrating the anchoring process with preference stability for interactive movie recommendations. In Human Interface and the Management of Information: Information and Interaction for Learning, Culture, Collaboration and Business - 15th International Conference, HCI International 2013, Proceedings (PART 3 ed., pp. 639-648). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8018 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-39226-9_70