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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 6 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
16 years 6 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 6 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2003
ACM
233views Data Mining» more  KDD 2003»
16 years 6 months ago
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of...
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis...
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
16 years 6 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
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