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» Putting Users in Control of their Recommendations
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RECSYS
2010
ACM
13 years 10 months ago
A lightweight privacy preserving SMS-based recommendation system for mobile users
Elisa Baglioni, Luca Becchetti, Lorenzo Bergamini,...
RECSYS
2010
ACM
13 years 10 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
CIDM
2011
IEEE
13 years 1 months ago
A banner recommendation system based on web navigation history
—We address the problem of selecting a banner advertisement, based on the profile of the online user. The profile consists of the set of webpages opened by the online user, opt...
Giovanni Giuffrida, Diego Reforgiato Recupero, Giu...
RECSYS
2009
ACM
14 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
RECSYS
2009
ACM
14 years 2 months ago
Acceptance issues of personality-based recommender systems
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
Rong Hu, Pearl Pu