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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 7 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
WSDM
2009
ACM
178views Data Mining» more  WSDM 2009»
16 years 1 months ago
User Browsing Graph: Structure, Evolution and Application
This paper focuses on ‘user browsing graph’ which is constructed with users’ click-through behavior modeled with Web access logs. User browsing graph has recently been adopt...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru
131
Voted
NAACL
2007
15 years 8 months ago
Detection of Non-Native Sentences Using Machine-Translated Training Data
Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
John Lee, Ming Zhou, Xiaohua Liu
ESANN
2006
15 years 8 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski
BMCBI
2010
186views more  BMCBI 2010»
15 years 6 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson