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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
IFIPTM
2009
171views Management» more  IFIPTM 2009»
13 years 5 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
WECWIS
2003
IEEE
128views ECommerce» more  WECWIS 2003»
14 years 19 days ago
PCFinder: An Intelligent Product Recommendation Agent for E-Commerce
There are many e-commerce applications on the web. A common shortcoming is the lack of customer service and marketing analysis tools in most ecommerce web sites. In order to overc...
Bin Xiao, Esma Aïmeur, José Manuel Fer...
WEBI
2007
Springer
14 years 1 months ago
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts
Collaborative filtering (CF) is one of the most successful approaches for recommendation. In this paper, we propose two hybrid CF algorithms, sequential mixture CF and joint mixtu...
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaa...
GROUP
2010
ACM
13 years 5 months ago
The effects of group composition on decision quality in a social production community
Online social production communities allow efficient construction of valuable and high-quality information sources. To be successful, community members must be effective at collab...
Shyong K. Lam, Jawed Karim, John Riedl