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» On evaluating web search with very few relevant documents
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WWW
2007
ACM
14 years 9 months ago
Detecting near-duplicates for web crawling
Near-duplicate web documents are abundant. Two such documents differ from each other in a very small portion that displays advertisements, for example. Such differences are irrele...
Gurmeet Singh Manku, Arvind Jain, Anish Das Sarma
ADAPTIVE
2007
Springer
13 years 10 months ago
Personalized Search on the World Wide Web
With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has diffi...
Alessandro Micarelli, Fabio Gasparetti, Filippo Sc...
ASWC
2009
Springer
14 years 1 months ago
Semantic-Linguistic Feature Vectors for Search: Unsupervised Construction and Experimental Validation
Abstract. In this paper, we elaborate on an approach to construction of semantic-linguistic feature vectors (FV) that are used in search. These FVs are built based on domain semant...
Stein L. Tomassen, Darijus Strasunskas
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
14 years 3 months ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, si...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
CIKM
2006
Springer
14 years 9 days ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan