skip to main content
10.1145/1639714.1639777acmconferencesArticle/Chapter ViewAbstractPublication PagesrecsysConference Proceedingsconference-collections
short-paper

MoviExplain: a recommender system with explanations

Published:23 October 2009Publication History

ABSTRACT

Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an effort to regain customer acceptance and trust. But their explanations are poor, because they are based solely on rating data, ignoring the content data. Our prototype system MoviExplain is a movie recommender system that provides both accurate and justifiable recommendations.

References

  1. Bilgic, M. and Mooney, R.J. Explaining Recommendations: Satisfaction vs. Promotion. In Proceedings of the Recommender Systems Workshop (IUI Conference), 2005.Google ScholarGoogle Scholar
  2. Billsus, D. and Pazzani, M. A personal news agent that talks, learns and explains. In Proceedings of the Autonomous Agents Conference, pages 268-275, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Herlocker, J. and Konstan, J. and Riedl, J. Explaining collaborative filtering recommendations. In Proccedings of the Computer Supported Cooperative Work Conference, pages 241-250, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Jin, R. and Si, L. and Zhai, C. A study of mixture models for collaborative filtering. Information Retrieval, vol. 9, issue 3, pages 357-382, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Melville, P. and Mooney, R. J. and Nagarajan, R. Content-Boosted Collaborative Filtering for Improved Recommendations. In Proceedings of the AAAI Conference, pages 187-192, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Mooney, R. and Roy, L. Content-based book recommending using learning for text categorization. In Proceedings of the ACM DL Conference, pages 195-204, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Salter, J. and Antonopoulos, N. CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering. Intelligent Systems Magazine, vol. 21, issue 1, pages 35-41, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. MoviExplain: a recommender system with explanations

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        RecSys '09: Proceedings of the third ACM conference on Recommender systems
        October 2009
        442 pages
        ISBN:9781605584355
        DOI:10.1145/1639714

        Copyright © 2009 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 October 2009

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper

        Acceptance Rates

        Overall Acceptance Rate254of1,295submissions,20%

        Upcoming Conference

        RecSys '24
        18th ACM Conference on Recommender Systems
        October 14 - 18, 2024
        Bari , Italy

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader