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» Social Networks as Data Source for Recommendation Systems
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HYPERTEXT
2009
ACM
15 years 9 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 6 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
87
Voted
SIGIR
2009
ACM
15 years 6 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
CSCW
2000
ACM
15 years 4 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
16 years 4 days ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...