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» Relevance Score Normalization for Metasearch
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CIKM
2001
Springer
13 years 9 months ago
Relevance Score Normalization for Metasearch
Given the ranked lists of documents returned by multiple search engines in response to a given query, the problem of metasearch is to combine these lists in a way which optimizes ...
Mark H. Montague, Javed A. Aslam
CIKM
2009
Springer
13 years 11 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
SIGIR
2005
ACM
13 years 10 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
CIKM
2008
Springer
13 years 6 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
SIGIR
2010
ACM
13 years 5 months ago
Score distribution models: assumptions, intuition, and robustness to score manipulation
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Jav...