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» Reranking Methods for Visual Search
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AI
2008
Springer
14 years 3 days ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
WWW
2002
ACM
14 years 6 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
CIVR
2007
Springer
115views Image Analysis» more  CIVR 2007»
13 years 12 months ago
A reranking approach for context-based concept fusion in video indexing and retrieval
We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes ...
Lyndon S. Kennedy, Shih-Fu Chang
CIKM
2006
Springer
13 years 9 months ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan
WWW
2009
ACM
14 years 6 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...