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» Using the Structure of HTML Documents to Improve Retrieval
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DSS
2008
186views more  DSS 2008»
15 years 3 months ago
A machine learning approach to web page filtering using content and structure analysis
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
Michael Chau, Hsinchun Chen
124
Voted
CHI
1995
ACM
15 years 7 months ago
TileBars: Visualization of Term Distribution Information in Full Text Information Access
The field of information retrieval has traditionallyfocused on s consistingof titlesand abstracts. As a consequence, many underlying assumptions must be altered for retrieval fro...
Marti A. Hearst
166
Voted
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
15 years 10 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
130
Voted
NIPS
2008
15 years 4 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
ECIR
2004
Springer
15 years 4 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili