creators_name: Sen, Shilad creators_name: Vig, Jesse creators_name: Riedl, John type: conference_item datestamp: 2009-04-06 19:10:29 lastmod: 2009-04-22 03:11:53 metadata_visibility: show title: Tagommenders: Connecting Users to Items through Tags ispublished: pub full_text_status: public pres_type: paper abstract: Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navigate vast collections of items. Algorithms combining tags with recommenders may deliver both the automation inherent in recommenders, and the flexibility and conceptual comprehensibility inherent in tagging systems. In this paper we explore tagommenders, recommender algorithms that predict users’ preferences for items based on their inferred preferences for tags. We describe tag preference inference algorithms based on users’ interactions with tags and movies, and evaluate these algorithms based on tag preference ratings collected from 995 MovieLens users. We design and evaluate algorithms that predict users’ ratings for movies based on their inferred tag preferences. Our tag-based algorithms generate better recommendation rankings than state-of-the-art algorithms, and they may lead to flexible recommender systems that leverage the characteristics of items users find most important. date: 2009-04 pagerange: 671-671 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Sen, Shilad and Vig, Jesse and Riedl, John (2009) Tagommenders: Connecting Users to Items through Tags. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/68/2/www-talk.pptx document_url: http://www2009.eprints.org/68/1/p671.pdf