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» A Web Recommendation System Based on Maximum Entropy
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 8 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
FSKD
2008
Springer
157views Fuzzy Logic» more  FSKD 2008»
13 years 8 months ago
Recommended or Not? Give Advice on Online Products
This paper introduces an opinion judgment system that automatically gives advice on whether to recommend this product and furthermore provides corresponding reasons. The core task...
Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu
NAACL
2003
13 years 9 months ago
Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...
CICLING
2007
Springer
14 years 1 months ago
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
Abstract. The task of Named Entity Recognition (NER) allows to identify proper names as well as temporal and numeric expressions, in an open-domain text. NER systems proved to be v...
Yassine Benajiba, Paolo Rosso, José-Miguel ...
RECOMB
2003
Springer
14 years 8 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge