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PAMI
2012
11 years 8 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
WWW
2009
ACM
14 years 6 months ago
Sitemaps: above and beyond the crawl of duty
Comprehensive coverage of the public web is crucial to web search engines. Search engines use crawlers to retrieve pages and then discover new ones by extracting the pages' o...
Uri Schonfeld, Narayanan Shivakumar
ITNG
2006
IEEE
14 years 1 days ago
Overlap Among Major Web Search Engines
Purpose – This paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: mea...
Amanda Spink, Bernard J. Jansen, Chris Blakely, Sh...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 3 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
WEBI
2007
Springer
14 years 4 days ago
Determining Bias to Search Engines from Robots.txt
Search engines largely rely on robots (i.e., crawlers or spiders) to collect information from the Web. Such crawling activities can be regulated from the server side by deploying ...
Yang Sun, Ziming Zhuang, Isaac G. Councill, C. Lee...