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» Term Ranking for Clustering Web Search Results
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WWW
2010
ACM
14 years 3 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
WWW
2010
ACM
13 years 9 months ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a q...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma...
SIGIR
2003
ACM
14 years 2 months ago
Generating hierarchical summaries for web searches
Hierarchies provide a means of organizing, summarizing and accessing information. We describe a method for automatically generating hierarchies from small collections of text, and...
Dawn J. Lawrie, W. Bruce Croft
CIDR
2007
155views Algorithms» more  CIDR 2007»
13 years 10 months ago
Object-level Vertical Search
Current web search engines essentially conduct document-level ranking and retrieval. However, structured information about realworld objects embedded in static webpages and online...
Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma
WWW
2007
ACM
14 years 9 months ago
Optimizing web search using social annotations
This paper explores the use of social annotations to improve web search. Nowadays, many services, e.g. del.icio.us, have been developed for web users to organize and share their f...
Shenghua Bao, Gui-Rong Xue, Xiaoyuan Wu, Yong Yu, ...