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AAMAS
2008
Springer
14 years 9 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...
RECSYS
2009
ACM
15 years 4 months ago
Using twitter to recommend real-time topical news
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
Owen Phelan, Kevin McCarthy, Barry Smyth
CORR
2008
Springer
103views Education» more  CORR 2008»
14 years 9 months ago
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
It has previously been shown that a recommender based on immune system idiotypic principles can outperform one based on correlation alone. This paper reports the results of work i...
Steve Cayzer, Uwe Aickelin
ECWEB
2010
Springer
155views ECommerce» more  ECWEB 2010»
14 years 8 months ago
Partial Ranking of Products for Recommendation Systems
A recommendation system (or recommender) is an algorithm whose goal is to recommend products to potential users. To achieve its task, it uses information about some user preference...
Sébastien Hémon, Thomas Largillier, ...
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CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 9 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure