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» Learning to rank for information retrieval
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SIGIR
2009
ACM
15 years 11 months ago
Page hunt: improving search engines using human computation games
There has been a lot of work on evaluating and improving the relevance of web search engines. In this paper, we suggest using human computation games to elicit data from players t...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
ECIR
2006
Springer
15 years 8 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CLEF
2010
Springer
15 years 7 months ago
Question Answering on Romanian, English and French Languages
This paper describes UAIC1 's Question Answering systems participating in the ResPubliQA 2010 competition, designed to answer questions on a juridical corpora in Romanian, Eng...
Adrian Iftene, Diana Trandabat, Maria Husarciuc, M...
ICASSP
2011
IEEE
14 years 10 months ago
Leveraging the Web for automatically generating indexable and browsable keywords for speech files
This paper presents a method for generating indexable and browsable keyword metadata from ASR transcripts by leveraging the Web. Search engine queries are built from an ASR transc...
Kishan Thambiratnam, Gang Li, Sha Meng, Frank Seid...
CLEF
2011
Springer
14 years 6 months ago
Simulation of Within-Session Query Variations Using a Text Segmentation Approach
Abstract. We propose a generative model for automatic query reformulations from an initial query using the underlying subtopic structure of top ranked retrieved documents. We addre...
Debasis Ganguly, Johannes Leveling, Gareth J. F. J...