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CIKM
2010
Springer
13 years 7 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
WWW
2004
ACM
14 years 10 months ago
Understanding user goals in web search
Previous work on understanding user web search behavior has focused on how people search and what they are searching for, but not why they are searching. In this paper, we describ...
Daniel E. Rose, Danny Levinson
WWW
2009
ACM
14 years 10 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
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 10 months ago
Brand awareness and the evaluation of search results
We investigate the effect of search engine brand (i.e., the identifying name or logo that distinguishes a product from its competitors) on evaluation of system performance. This r...
Bernard J. Jansen, Mimi Zhang, Ying Zhang