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» Using a trust network to improve top-N recommendation
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ITRUST
2005
Springer
13 years 10 months ago
Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences
Collaborative Filtering (CF), the prevalent recommendation approach, has been successfully used to identify users that can be characterized as “similar” according to their logg...
Manos Papagelis, Dimitris Plexousakis, Themistokli...
JSW
2008
127views more  JSW 2008»
13 years 5 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
ATAL
2008
Springer
13 years 7 months ago
Towards Improved Partner Selection Using Recommendations and Trust
Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behavi...
Sarah N. Lim Choi Keung, Nathan Griffiths
IAT
2006
IEEE
13 years 11 months ago
Enhanced Recommendations through Propagation of Trust and Distrust
The incorporation of a trust network among the users of a recommender system (RS) proves beneficial to the quality and amount of recommendations. Involving also distrust can offe...
Patricia Victor, Chris Cornelis, Martine De Cock
IFIPTM
2009
171views Management» more  IFIPTM 2009»
13 years 3 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
Georgios Pitsilis