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» Database Selection and Result Merging in P2P Web Search
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VLDB
2004
ACM
95views Database» more  VLDB 2004»
14 years 25 days ago
Combating Web Spam with TrustRank
Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine’s results. While human experts can identify spam, it is too expensive to manual...
Zoltán Gyöngyi, Hector Garcia-Molina, ...
PVLDB
2008
124views more  PVLDB 2008»
13 years 7 months ago
Google's Deep Web crawl
The Deep Web, i.e., content hidden behind HTML forms, has long been acknowledged as a significant gap in search engine coverage. Since it represents a large portion of the structu...
Jayant Madhavan, David Ko, Lucja Kot, Vignesh Gana...
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 1 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
PROMISE
2010
13 years 2 months ago
How effective is Tabu search to configure support vector regression for effort estimation?
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...
Anna Corazza, Sergio Di Martino, Filomena Ferrucci...
WIDM
2006
ACM
14 years 1 months ago
Coarse-grained classification of web sites by their structural properties
In this paper, we identify and analyze structural properties which reflect the functionality of a Web site. These structural properties consider the size, the organization, the co...
Christoph Lindemann, Lars Littig