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» Methods for boosting recommender systems
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RECSYS
2009
ACM
14 years 2 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
ICCBR
1999
Springer
13 years 11 months ago
Surfing the Digital Wave
In the future digital TV will offer an unprecedented level of programme choice. We are told that this will lead to dramatic increases in viewer satisfaction as all viewing tastes a...
Barry Smyth, Paul Cotter
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Similar Term Discovery using Web Search
We present an approach to the discovery of semantically similar terms that utilizes a web search engine as both a source for generating related terms and a tool for estimating the...
Peter G. Anick, Vijay Murthi, Shaji Sebastian
ICASSP
2010
IEEE
13 years 7 months ago
Automatic audio tagging using covariate shift adaptation
Automatically annotating or tagging unlabeled audio files has several applications, such as database organization and recommender systems. We are interested in the case where the...
Gordon Wichern, Makoto Yamada, Harvey D. Thornburg...
SIGIR
2010
ACM
13 years 2 months ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner