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KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 7 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
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...
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...
ECIR
2007
Springer
13 years 8 months ago
Personalized Communities in a Distributed Recommender System
The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Sylvain Castagnos, Anne Boyer
ICWE
2010
Springer
13 years 5 months ago
Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Daniel Mican, Nicolae Tomai