Sciweavers

Share
RECSYS
2010
ACM

Content-based recommendation in social tagging systems

11 years 8 months ago
Content-based recommendation in social tagging systems
We present and evaluate various content-based recommendation models that make use of user and item profiles defined in terms of weighted lists of social tags. The studied approaches are adaptations of the Vector Space and Okapi BM25 information retrieval models. We empirically compare the recommenders using two datasets obtained from Delicious and Last.fm social systems, in order to analyse the performance of the approaches in scenarios with different domains and tagging behaviours. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval
Iván Cantador, Alejandro Bellogín, D
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where RECSYS
Authors Iván Cantador, Alejandro Bellogín, David Vallet
Comments (0)
books