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» Majority Based Ranking Approach in Web Image Retrieval
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SIGIR
2010
ACM
15 years 3 months ago
Context-aware ranking in web search
The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused ...
Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, En...
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 5 days ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
ESWA
2008
173views more  ESWA 2008»
14 years 11 months ago
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
Hsin-Chang Yang, Chung-Hong Lee
WWW
2008
ACM
16 years 9 days ago
Pagerank for product image search
In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyz...
Yushi Jing, Shumeet Baluja
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Canonical image selection from the web
The vast majority of the features used in today’s commercially deployed image search systems employ techniques that are largely indistinguishable from text-document search – t...
Yushi Jing, Shumeet Baluja, Henry A. Rowley