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COMAD
2009
14 years 10 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
93
Voted
CCS
2009
ACM
15 years 10 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
81
Voted
CHI
2010
ACM
14 years 8 months ago
Social tagging revamped: supporting the users' need of self-promotion through persuasive techniques
People share pictures online to increase their social presence. However, recent studies have shown that most of the content shared in social networks is not looked at by peers. Pr...
Mauro Cherubini, Alejandro Gutierrez, Rodrigo de O...
ICSE
2012
IEEE-ACM
13 years 2 days ago
Continuous social screencasting to facilitate software tool discovery
—The wide variety of software development tools available today have a great potential to improve the way developers make software, but that potential goes unfulfilled when deve...
Emerson R. Murphy-Hill
WWW
2011
ACM
14 years 4 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya