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» A Knowledge Recommend System Based on User Model
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ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
12 years 7 months ago
Rating Elicitation Strategies for Collaborative Filtering
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
SIGIR
2010
ACM
13 years 11 months ago
Interactive retrieval based on faceted feedback
Motivated by the commonly used faceted search interface in e-commerce, this paper investigates interactive relevance feedback mechanism based on faceted document metadata. In this...
Lanbo Zhang, Yi Zhang
ICMLA
2008
13 years 9 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 8 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
BDA
2007
13 years 9 months ago
Query Rewriting Based on User's Profile Knowledge
Query personalization was introduced as an advanced mechanism to allow the reformulation of database queries and adapt them to the user's domain of interest and preferences. ...
Dimitre Kostadinov, Mokrane Bouzeghoub, Sté...