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KDD
2003
ACM
233views Data Mining» more  KDD 2003»
14 years 5 months ago
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of...
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis...
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 5 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
WECWIS
2003
IEEE
128views ECommerce» more  WECWIS 2003»
13 years 10 months ago
PCFinder: An Intelligent Product Recommendation Agent for E-Commerce
There are many e-commerce applications on the web. A common shortcoming is the lack of customer service and marketing analysis tools in most ecommerce web sites. In order to overc...
Bin Xiao, Esma Aïmeur, José Manuel Fer...
OHS
2001
Springer
13 years 9 months ago
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...
Paolo Buono, Maria Francesca Costabile, Stefano Gu...
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 5 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher