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WIRI
2005
IEEE
14 years 1 months ago
Collaborative Filtering by Mining Association Rules from User Access Sequences
Recent research in mining user access patterns for predicting Web page requests focuses only on consecutive sequential Web page accesses, i.e., pages which are accessed by followi...
Mei-Ling Shyu, Choochart Haruechaiyasak, Shu-Ching...
JSW
2008
127views more  JSW 2008»
13 years 7 months ago
A Trust Based System for Enhanced Spam Filtering
The effectiveness of current anti-spam systems is limited by the ability of spammers to adapt to filtering techniques and the lack of incentive for mail servers to filter outgoing ...
Jimmy McGibney, Dmitri Botvich
INFOCOM
2011
IEEE
12 years 11 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
CIKM
2009
Springer
14 years 2 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
SAC
2008
ACM
13 years 7 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...