383 search results - page 16 / 77 » Relevance Feedback Models for Recommendation |
ECIR
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
JIIS
2002
13 years 8 months ago
2002
In this paper we propose a model for relevance feedback. Our model combines evidence from user's relevance assessments with algorithms describing how words are used within do...
IIR
2010
13 years 10 months ago
2010
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
ACMICEC
2008
ACM
13 years 10 months ago
2008
ACM
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...