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ICDE
2007
IEEE
114views Database» more  ICDE 2007»
13 years 11 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
SAC
2009
ACM
14 years 2 months ago
Defending online reputation systems against collaborative unfair raters through signal modeling and trust
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
WWW
2010
ACM
13 years 7 months ago
Mining advertiser-specific user behavior using adfactors
Consider an online ad campaign run by an advertiser. The ad serving companies that handle such campaigns record users' behavior that leads to impressions of campaign ads, as ...
Nikolay Archak, Vahab S. Mirrokni, S. Muthukrishna...
SIGIR
2011
ACM
12 years 10 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
WWW
2009
ACM
14 years 2 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl