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» Cluster-based Contextual Recommendations
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WWW
2011
ACM
13 years 4 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
DRR
2008
13 years 11 months ago
Hybrid approach combining contextual and statistical information for identifying MEDLINE citation terms
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
In-Cheol Kim, Daniel X. Le, George R. Thoma
AI
2009
Springer
14 years 4 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek
RECSYS
2010
ACM
13 years 10 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
CIKM
2010
Springer
13 years 4 months ago
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Alan Said, Jérôme Kunegis, Ernesto Wi...