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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 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...
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 8 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
WWW
2006
ACM
14 years 8 months ago
Optimizing scoring functions and indexes for proximity search in type-annotated corpora
We introduce a new, powerful class of text proximity queries: find an instance of a given "answer type" (person, place, distance) near "selector" tokens matchi...
Soumen Chakrabarti, Kriti Puniyani, Sujatha Das
WWW
2008
ACM
14 years 8 months ago
Exploring social annotations for information retrieval
Social annotation has gained increasing popularity in many Web-based applications, leading to an emerging research area in text analysis and information retrieval. This paper is c...
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, ...
VLDB
2002
ACM
193views Database» more  VLDB 2002»
13 years 7 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock