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» User evaluation of a market-based recommender system
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SIGKDD
2008
138views more  SIGKDD 2008»
13 years 6 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
COOPIS
2004
IEEE
13 years 10 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
RECSYS
2010
ACM
13 years 6 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
RECSYS
2009
ACM
14 years 1 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
ECWEB
2004
Springer
97views ECommerce» more  ECWEB 2004»
14 years 2 days ago
Supporting User Query Relaxation in a Recommender System
This paper presents a new technology for supporting flexible query management in recommender systems. It is aimed at guiding a user in refining her query when it fails to return ...
Nader Mirzadeh, Francesco Ricci, Mukesh Bansal