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» Predicting user interests from contextual information
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DAIS
2006
14 years 11 months ago
On the Value of Random Opinions in Decentralized Recommendation
Abstract. As the amount of information available to users continues to grow, filtering wanted items from unwanted ones becomes a dominant task. To this end, various collaborative-f...
Elth Ogston, Arno Bakker, Maarten van Steen
CHI
2005
ACM
15 years 10 months ago
Towards knowledge building in professional groups
In this submission for the CHI05 Development forum, I reflect on my experience leading the Experience Design community of interest of the American Institute of Graphic Arts and su...
John Zapolski
WWW
2004
ACM
15 years 10 months ago
PipeCF: a scalable DHT-based collaborative filtering recommendation system
Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system...
Bo Xie, Peng Han, Ruimin Shen
SIGECOM
2008
ACM
144views ECommerce» more  SIGECOM 2008»
14 years 10 months ago
Incentives for expressing opinions in online polls
Prediction markets efficiently extract and aggregate the private information held by individuals about events and facts that can be publicly verified. However, facts such as the e...
Radu Jurca, Boi Faltings
WWW
2002
ACM
15 years 10 months ago
Visualizing web site comparisons
The Web is increasingly becoming an important channel for conducting businesses, disseminating information, and communicating with people on a global scale. More and more companie...
Bing Liu, Kaidi Zhao, Lan Yi