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» Using the Structure of HTML Documents to Improve Retrieval
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125
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ECIR
2008
Springer
15 years 4 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
SIGIR
1999
ACM
15 years 7 months ago
Information Retrieval Based on Context Distance and Morphology
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings. This conte...
Hongyan Jing, Evelyne Tzoukermann
129
Voted
SAC
2006
ACM
15 years 9 months ago
Trust-enhanced visibility for personalized document recommendations
Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete u...
Claudia Hess, Klaus Stein, Christoph Schlieder
ICDAR
2011
IEEE
14 years 3 months ago
Chinese Keyword Spotting Using Knowledge-Based Clustering
—Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
Yong Xia, Kuanquan Wang, Mingwei Li
SIGIR
2012
ACM
13 years 5 months ago
Modeling higher-order term dependencies in information retrieval using query hypergraphs
Many of the recent, and more effective, retrieval models have incorporated dependencies between the terms in the query. In this paper, we advance this query representation one st...
Michael Bendersky, W. Bruce Croft