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» Set-based model: a new approach for information retrieval
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PRL
2008
181views more  PRL 2008»
13 years 7 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
IRI
2009
IEEE
14 years 2 months ago
Ontology-based Information Model Development for Science Information Reuse and Integration
Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve sci...
J. Steven Hughes, Daniel J. Crichton, Chris Mattma...
CIKM
2009
Springer
14 years 2 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
SIGIR
2008
ACM
13 years 7 months ago
Algorithmic mediation for collaborative exploratory search
We describe a new approach to information retrieval: algorithmic mediation for intentional, synchronous collaborative exploratory search. Using our system, two or more users with ...
Jeremy Pickens, Gene Golovchinsky, Chirag Shah, Pe...