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AOIS
2003
13 years 11 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»
13 years 27 days 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 5 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,...
CIKM
2005
Springer
14 years 3 months ago
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Eui-Hong Han, George Karypis
IUI
2010
ACM
14 years 3 months ago
A multi faceted recommendation approach for explorative video retrieval tasks
In this paper we examine the use of multi faceted recommendations to aid users while carrying out exploratory video retrieval tasks. These recommendations are integrated into ViGO...
David Vallet, Martin Halvey, David Hannah, Joemon ...