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» Group User Models for Personalized Hyperlink Recommendations
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IIR
2010
13 years 10 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
UIC
2009
Springer
14 years 3 months ago
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure le...
Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho
RECSYS
2009
ACM
14 years 3 months ago
Increasing engagement through early recommender intervention
Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender techno...
Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer
CIKM
2001
Springer
14 years 1 months ago
Real Time User Context Modeling for Information Retrieval Agents
The success of personal information agents depends on their ability to provide task-relevant information. This paper presents WordSieve, a new algorithm that generates context des...
Travis Bauer, David B. Leake
CSCW
2006
ACM
14 years 2 months ago
tagging, communities, vocabulary, evolution
A tagging community’s vocabulary of tags forms the basis for social navigation and shared expression. We present a user-centric model of vocabulary evolution in tagging communit...
Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan ...