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SOCIALCOM
2010
13 years 2 months ago
Facilitating Knowledge Exploration in Folksonomies: Expertise Ranking by Link and Semantic Structures
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Wai-Tat Fu, Wei Dong
RECSYS
2009
ACM
13 years 10 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
INFOCOM
2011
IEEE
12 years 7 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
ICDM
2009
IEEE
164views Data Mining» more  ICDM 2009»
13 years 11 months ago
iTopicModel: Information Network-Integrated Topic Modeling
—Document networks, i.e., networks associated with text information, are becoming increasingly popular due to the ubiquity of Web documents, blogs, and various kinds of online da...
Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 4 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester