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SAC
2008
ACM
15 years 5 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
MMM
2006
Springer
133views Multimedia» more  MMM 2006»
16 years 9 days ago
A SVM-based personal recommendation system for TV programs
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Jin An Xu, Kenji Araki
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
16 years 6 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 ...
PST
2004
15 years 7 months ago
The Sensitivities of User Profile Information in Music Recommender Systems
Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into th...
Evelien van de Garde-Perik, Boris E. R. de Ruyter,...
SAC
2005
ACM
15 years 12 months ago
A trust-enhanced recommender system application: Moleskiing
Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity bet...
Paolo Avesani, Paolo Massa, Roberto Tiella