Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2014)

Toine Bogers, Marijn Koolen, Ivan Cantádor

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2014 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation.
Original languageEnglish
Title of host publicationRecSys ‘14: Proceedings of the 2014 ACM Conference on Recommender Systems
Number of pages2
PublisherAssociation for Computing Machinery
Publication date6 Oct 2014
ISBN (Print)978-1-4503-2668-1
Publication statusPublished - 6 Oct 2014
Externally publishedYes
EventACM Conference in Recommender Systems - Foster City, United States
Duration: 6 Oct 201410 Oct 2014


ConferenceACM Conference in Recommender Systems
Country/TerritoryUnited States
CityFoster City


  • Content-Based Recommendation
  • Collaborative Filtering
  • Metadata
  • Recommendation Domains
  • CBRecSys 2014 Workshop


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