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» Understanding web search via a learning paradigm
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CHI
2009
ACM
15 years 10 months ago
Resonance on the web: web dynamics and revisitation patterns
The Web is a dynamic, ever-changing collection of information accessed in a dynamic way. This paper explores the relationship between Web page content change (obtained from an hou...
Eytan Adar, Jaime Teevan, Susan T. Dumais
SIGIR
2011
ACM
14 years 13 days ago
Mining weakly labeled web facial images for search-based face annotation
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
Dayong Wang, Steven C. H. Hoi, Ying He
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 5 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
15 years 10 months ago
De-duping URLs via rewrite rules
A large fraction of the URLs on the web contain duplicate (or near-duplicate) content. De-duping URLs is an extremely important problem for search engines, since all the principal...
Anirban Dasgupta, Ravi Kumar, Amit Sasturkar
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
15 years 10 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz