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» Using Induction to Refine Information Retrieval Strategies
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MM
2006
ACM
164views Multimedia» more  MM 2006»
14 years 1 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
DEXA
2004
Springer
129views Database» more  DEXA 2004»
14 years 1 months ago
Using Case Based Retrieval Techniques for Handling Anomalous Situations in Advisory Dialogues
The efficacy of expert systems often depends on the accuracy and completeness of the problem specification negotiated with the user. Therefore, efficient user interfaces are needed...
Marcello L'Abbate, Ingo Frommholz, Ulrich Thiel, E...
SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
14 years 7 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
CVPR
2009
IEEE
15 years 2 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
SIGIR
2009
ACM
14 years 11 days 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 ...