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IJCAI
2007
13 years 9 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
CORR
2007
Springer
90views Education» more  CORR 2007»
13 years 7 months ago
Recommender System for Online Dating Service
Abstract. Users of online dating sites are facing information overload that requires them to manually construct queries and browse huge amount of matching user profiles. This beco...
Lukas Brozovsky, Vaclav Petricek
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 7 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
AIR
2005
120views more  AIR 2005»
13 years 7 months ago
Rascal: A Recommender Agent for Agile Reuse
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
Frank McCarey, Mel Ó Cinnéide, Nicho...
CSCW
2002
ACM
13 years 7 months ago
On the recommending of citations for research papers
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...