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» Learning block importance models for web pages
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WWW
2010
ACM
14 years 2 months ago
Diversifying web search results
Result diversity is a topic of great importance as more facets of queries are discovered and users expect to find their desired facets in the first page of the results. However,...
Davood Rafiei, Krishna Bharat, Anand Shukla
CIKM
2009
Springer
14 years 2 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
BMCBI
2007
207views more  BMCBI 2007»
13 years 7 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
WWW
2006
ACM
14 years 8 months ago
Off the beaten tracks: exploring three aspects of web navigation
This paper presents results of a long-term client-side Web usage study, updating previous studies that range in age from five to ten years. We focus on three aspects of Web naviga...
Harald Weinreich, Hartmut Obendorf, Eelco Herder, ...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher