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203
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WWW
2010
ACM
16 years 7 days ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
164
Voted
MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 10 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
142
Voted
SIGIR
2008
ACM
15 years 5 months ago
Retrieval and feedback models for blog feed search
Blog feed search poses different and interesting challenges from traditional ad hoc document retrieval. The units of retrieval, the blogs, are collections of documents, the blog p...
Jonathan L. Elsas, Jaime Arguello, Jamie Callan, J...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 5 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
146
Voted
CIKM
2009
Springer
15 years 11 months ago
Using opinion-based features to boost sentence retrieval
Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is...
Ronald T. Fernández, David E. Losada