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126
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DATAMINE
2002
135views more  DATAMINE 2002»
15 years 1 months ago
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
: Web usage mining, possibly used in conjunction with standard approaches to personalization such as collaborative filtering, can help address some of the shortcomings of these tec...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
129
Voted
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 8 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
ICCBR
2009
Springer
15 years 8 months ago
Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
Maria Salamó, Sergio Escalera, Petia Radeva
150
Voted
RECSYS
2010
ACM
15 years 2 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
ETRICS
2006
15 years 5 months ago
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
Shyong K. Lam, Dan Frankowski, John Riedl