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» On bootstrapping recommender systems
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WECWIS
2006
IEEE
161views ECommerce» more  WECWIS 2006»
14 years 2 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
Esma Aïmeur, Flavien Serge Mani Onana
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 9 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
AAMAS
2008
Springer
13 years 8 months ago
User evaluation of a market-based recommender system
Recommender systems have been developed for a wide variety of applications (ranging from books, to holidays, to web pages). These systems have used a number of different approache...
Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau, W...
ICDE
2012
IEEE
257views Database» more  ICDE 2012»
11 years 11 months ago
LARS: A Location-Aware Recommender System
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy...
IMECS
2007
13 years 10 months ago
Investigation for Designing of Context-Aware Recommendation System Using SVM
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...