Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsFormidling


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 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation.
TitelRecSys ‘16: Proceedings of the 2015 ACM Conference on Recommender Systems
Antal sider2
ForlagAssociation for Computing Machinery
Publikationsdato15 sep. 2016
ISBN (Elektronisk)978-1-4503-4035-9
StatusUdgivet - 15 sep. 2016
Udgivet eksterntJa
BegivenhedRecSys 2016: 10th ACM Conference on Recommender Systems - Boston, MA, USA
Varighed: 15 sep. 201619 sep. 2016


KonferenceRecSys 2016
ByBoston, MA


Dyk ned i forskningsemnerne om 'Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)'. Sammen danner de et unikt fingeraftryk.