Report on RecSys 2014 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2014)

Toine Bogers, Marijn Koolen, Ivan Cantádor

Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-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 aimed to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommender systems.
Original languageEnglish
JournalSIGIR Forum
Issue number1
Pages (from-to)20-26
Number of pages7
Publication statusPublished - Jun 2015
Externally publishedYes
EventRecSys 2014: 8th ACM Conference on Recommender Systems - Foster City, CA, United States
Duration: 6 Oct 201410 Oct 2014


ConferenceRecSys 2014
Country/TerritoryUnited States
CityFoster City, CA


  • Content-Based Recommendation
  • Collaborative Filtering
  • Metadata
  • Recommender Systems
  • Recommendation Performance


Dive into the research topics of 'Report on RecSys 2014 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2014)'. Together they form a unique fingerprint.

Cite this