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IPM
2007
182views more  IPM 2007»
13 years 7 months ago
A probabilistic music recommender considering user opinions and audio features
A recommender system has an obvious appeal in an environment where the amount of on-line information vastly outstrips any individual’s capability to survey. Music recommendation...
Qing Li, Sung-Hyon Myaeng, Byeong Man Kim
SIGIR
2012
ACM
11 years 10 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
ATAL
2007
Springer
13 years 11 months ago
Strategy recommender agents (ALEX) - the methodology
Agents for Alignment into strategy Experience (ALEX agents), a type of recommender agent (RA), are proposed here as a means of helping employees to perform tasks in line with the ...
Ronald Uriel Ruiz Ordóñez, Josep Llu...
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 5 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
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
14 years 8 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...