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CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 8 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
CAISE
2003
Springer
14 years 20 days ago
Recommendation Based Discovery of Dynamic Virtual Communities
Recommendation systems are becoming increasingly popular in various large-scale web-based applications (such as infomediaries, emarketplaces, knowledge portals) since they enable u...
Manos Papagelis, Dimitris Plexousakis
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
13 years 11 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
FLAIRS
2006
13 years 8 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
AOIS
2004
13 years 8 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings