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» Recommender systems: a market-based design
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RECSYS
2010
ACM
13 years 7 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
NBIS
2010
Springer
13 years 5 months ago
A New Ontology-Supported and Hybrid Recommending Information System for Scholars
A new ontology-supported and hybrid recommending information system for scholars was proposed. Not only can it fast integrate specific domain documents, but also it can extract imp...
Sheng-Yuan Yang, Chun-Liang Hsu
ACMICEC
2007
ACM
143views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Integrated personal recommender systems
Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the desi...
Ronald Chung, David Sundaram, Ananth Srinivasan
AAMAS
2008
Springer
13 years 7 months ago
User evaluation of a market-based recommender system
Recommender systems have been developed for a wide variety of applications (ranging from books, to holidays, to web pages). These systems have used a number of different approache...
Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau, W...
ICWSM
2008
13 years 9 months ago
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...
Aaditeshwar Seth, Jie Zhang