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» Document Retrieval Performance on Parallel Systems
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SIGIR
1998
ACM
14 years 1 months ago
Improving Automatic Query Expansion
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via adhoc feedback improves the retrieval e ectiveness of such ...
Mandar Mitra, Amit Singhal, Chris Buckley
CIKM
2008
Springer
13 years 10 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 10 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CIKM
2007
Springer
14 years 3 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
SIGIR
2010
ACM
14 years 20 days ago
Many are better than one: improving multi-document summarization via weighted consensus
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
Dingding Wang, Tao Li