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» Relevance Evaluation of Search Engines' Query Results
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CVPR
2001
IEEE
16 years 8 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
PVLDB
2008
136views more  PVLDB 2008»
15 years 6 months ago
Keyword query cleaning
Unlike traditional database queries, keyword queries do not adhere to predefined syntax and are often dirty with irrelevant words from natural languages. This makes accurate and e...
Ken Q. Pu, Xiaohui Yu
SIGIR
2010
ACM
15 years 10 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...
SAC
2005
ACM
16 years 2 days ago
A distributed content-based search engine based on mobile code
Current search engines crawl the Web, download content, and digest this content locally. For multimedia content, this involves considerable volumes of data. Furthermore, this proc...
Volker Roth, Ulrich Pinsdorf, Jan Peters
APWEB
2010
Springer
15 years 5 months ago
Suggesting Topic-Based Query Terms as You Type
— Query term suggestion that interactively expands the queries is an indispensable technique to help users formulate high-quality queries and has attracted much attention in the ...
Ju Fan, Hao Wu, Guoliang Li, Lizhu Zhou