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» Representing preferences using intervals
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CCS
2010
ACM
13 years 11 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
FLAIRS
2006
13 years 9 months ago
Learning Personalized Query Modifications
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
Erika E. Torres-Verdín, Manfred Huber
ISCI
2006
77views more  ISCI 2006»
13 years 7 months ago
A general class of simple majority decision rules based on linguistic opinions
In this paper we have introduced a class of decision rules related to simple majority, by considering individual intensities of preference. These intensities will be shown by mean...
José Luis García-Lapresta
SIGIR
2008
ACM
13 years 7 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
CN
2004
102views more  CN 2004»
13 years 7 months ago
Comparing economic incentives in peer-to-peer networks
Users who join a peer-to-peer network have, in general, suboptimal incentives to contribute to the network, because of the externalities that exist between them. The result is an ...
Panayotis Antoniadis, Costas Courcoubetis, Robin M...