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» Content-based language models for spoken document retrieval
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TREC
2007
15 years 3 months ago
Parsimonious Language Models for a Terabyte of Text
: The aims of this paper are twofold. Our first aim is to compare results of the earlier Terabyte tracks to the Million Query track. We submitted a number of runs using different ...
Djoerd Hiemstra, Rongmei Li, Jaap Kamps, Rianne Ka...
CIKM
2010
Springer
15 years 13 days ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
102
Voted
SIGIR
2010
ACM
15 years 2 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...
CLEF
2007
Springer
15 years 8 months ago
Multiplying Concept Sources for Graph Modeling
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
Loïc Maisonnasse, Éric Gaussier, Jean-...
119
Voted
CIKM
2011
Springer
14 years 1 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei