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» Prefetching query results and its impact on search engines
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WWW
2010
ACM
14 years 2 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
ERCIMDL
1999
Springer
104views Education» more  ERCIMDL 1999»
13 years 11 months ago
The Small World Web
I show that the World Wide Web is a small world, in the sense that sites are highly clustered yet the path length between them is small. I also demonstrate the advantages of a sear...
Lada A. Adamic
CIVR
2007
Springer
128views Image Analysis» more  CIVR 2007»
14 years 1 months ago
3D-Model search engine from photos
In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model ...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
14 years 7 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
CIKM
2009
Springer
14 years 2 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang