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» Group User Models for Personalized Hyperlink Recommendations
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WWW
2010
ACM
14 years 2 months 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...
TREC
2008
13 years 8 months ago
Weighted PageRank: Cluster-Related Weights
PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
Danil Nemirovsky, Konstantin Avrachenkov
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 4 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
ICMCS
2009
IEEE
185views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Connecting content to community in social media via image content, user tags and user communication
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
TASLP
2010
188views more  TASLP 2010»
13 years 5 months ago
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
—Social tagging is becoming increasingly popular in music information retrieval (MIR). It allows users to tag music items like songs, albums, or artists. Social tags are valuable...
Alexandros Nanopoulos, Dimitrios Rafailidis, Panag...