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

Toine Bogers, Marijn Koolen, Ivan Cantádor

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer 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.
TitelRecSys ‘14: Proceedings of the 2014 ACM Conference on Recommender Systems
Antal sider2
ForlagAssociation for Computing Machinery
Publikationsdato6 okt. 2014
ISBN (Trykt)978-1-4503-2668-1
StatusUdgivet - 6 okt. 2014
Udgivet eksterntJa
BegivenhedACM Conference on Recommender Systems - Foster City, USA
Varighed: 6 okt. 201410 okt. 2014


KonferenceACM Conference on Recommender Systems
ByFoster City


Dyk ned i forskningsemnerne om 'Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2014)'. Sammen danner de et unikt fingeraftryk.