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205
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WWW
2005
ACM
16 years 8 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
WWW
2004
ACM
16 years 8 months ago
Shilling recommender systems for fun and profit
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...
Shyong K. Lam, John Riedl
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
215
Voted
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 7 months ago
Efficient computation of personal aggregate queries on blogs
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tsen...
170
Voted
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 7 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...
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