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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 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...
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
14 years 2 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
ITCC
2002
IEEE
14 years 1 months ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...
Ying Zhao, George Karypis
CLEF
2005
Springer
14 years 2 months ago
SINAI at CLEF 2005: Multi-8 Two-Years-on and Multi-8 Merging-Only Tasks
This year, we have participated on multilingual two years on and Multi-8 merging-only CLEF task. Our main interest has been to test several usual CLIR tasks and investigate how th...
Fernando Martínez Santiago, Miguel Angel Ga...
DEBU
2010
138views more  DEBU 2010»
13 years 6 months ago
A Rule-Based Citation System for Structured and Evolving Datasets
We consider the requirements that a citation system must fulfill in order to cite structured and evolving data sets. Such a system must take into account variable granularity, con...
Peter Buneman, Gianmaria Silvello