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88
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IJCAI
2003
15 years 1 months ago
Improving the Performance of Recommender Systems That Use Critiquing
Personalization actions that tailor the Web experience to a particular user are an integral component of recommender systems. Here, product knowledge - either hand-coded or “mine...
Lorraine McGinty, Barry Smyth
101
Voted
INTERACT
2003
15 years 1 months ago
Confidence Displays and Training in Recommender Systems
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
110
Voted
WWW
2010
ACM
15 years 22 days ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
102
Voted
CORR
2010
Springer
178views Education» more  CORR 2010»
15 years 19 days ago
Automatic Recommendation for Online Users Using Web Usage Mining
A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intu...
Dipa Dixit, Jayant Gadge
117
Voted
SAC
2008
ACM
15 years 21 hour ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...