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» Using a trust network to improve top-N recommendation
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RECSYS
2009
ACM
14 years 3 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
COMAD
2009
13 years 9 months ago
Trust-Based Infinitesimals for Enhanced Collaborative Filtering
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Maria Chowdhury, Alex Thomo, William W. Wadge
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
13 years 7 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
INTERACT
2003
13 years 10 months ago
Confidence Displays and Training in Recommender Systems
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
VTC
2007
IEEE
162views Communications» more  VTC 2007»
14 years 2 months ago
Improving Vertical Handover Performance with PHY-Mode Recommendations Based on Localized Link State Measurements
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...
Daniel Bültmann, Matthias Siebert, Jijun Luo