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GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 2 months ago
Collaborative Tag Recommendations
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...
Leandro Balby Marinho, Lars Schmidt-Thieme
AIRS
2005
Springer
14 years 2 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
AOIS
2003
13 years 10 months ago
Market-Based Recommendations: Design, Simulation and Evaluation
This paper reports on the design, implementation, and evaluation of a market-based recommender system that suggests relevant documents to users. The key feature of the system is t...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
JCDL
2011
ACM
191views Education» more  JCDL 2011»
12 years 11 months ago
Serendipitous recommendation for scholarly papers considering relations among researchers
Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
Kazunari Sugiyama, Min-Yen Kan
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 4 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...