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SIGIR
2008
ACM
13 years 4 months ago
Re-ranking search results using document-passage graphs
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
Michael Bendersky, Oren Kurland
WWW
2009
ACM
14 years 5 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, ...
ICPR
2008
IEEE
13 years 11 months ago
Re-ranking of web image search results using a graph algorithm
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks ...
Hilal Zitouni, Sare Gul Sevil, Derya Ozkan, Pinar ...
SIGIR
2005
ACM
13 years 10 months ago
Improving web search results using affinity graph
Benyu Zhang, Hua Li, Yi Liu, Lei Ji, Wensi Xi, Wei...
MM
2004
ACM
195views Multimedia» more  MM 2004»
13 years 10 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...