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» A more precise model for web retrieval
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CIKM
2011
Springer
14 years 1 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
RIDE
2002
IEEE
15 years 6 months ago
Enhancive Index for Structured Document
Structured documents, especially the XML documents, are made up of a few logical components, such as title, sections, subsections and paragraphs. The components in each structured...
Xiaoling Wang, Ji-Rong Wen, Yisheng Dong, Wenyin L...
JCDL
2003
ACM
119views Education» more  JCDL 2003»
15 years 7 months ago
Genescene: Biomedical Text And Data Mining
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 5 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
15 years 11 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft