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KDD
2006
ACM
141views Data Mining» more  KDD 2006»
16 years 4 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
WIDM
2005
ACM
15 years 10 months ago
DirectoryRank: ordering pages in web directories
Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages...
Vlassis Krikos, Sofia Stamou, Pavlos Kokosis, Alex...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 4 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CIKM
2010
Springer
15 years 3 months ago
WikiPop: personalized event detection system based on Wikipedia page view statistics
In this paper, we describe WikiPop service, a system designed to detect significant increase of popularity of topics related to users’ interests. We exploit Wikipedia page view...
Marek Ciglan, Kjetil Nørvåg
RIAO
2004
15 years 5 months ago
Mining Textual Data through Term Variant Clustering : the TermWatch system
We present a system for mapping the structure of research topics in a corpus. TermWatch portrays the "aboutness" of a corpus of scientific and technical publications by ...
Fidelia Ibekwe-Sanjuan, Eric SanJuan