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ICML
1998
IEEE
14 years 9 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
ICDE
2009
IEEE
194views Database» more  ICDE 2009»
14 years 10 months ago
Effective XML Keyword Search with Relevance Oriented Ranking
Abstract-- Inspired by the great success of information retrieval (IR) style keyword search on the web, keyword search on XML has emerged recently. The difference between text data...
Zhifeng Bao, Tok Wang Ling, Bo Chen, Jiaheng Lu
WEBDB
2009
Springer
185views Database» more  WEBDB 2009»
14 years 3 months ago
Efficient and Scalable Sequence-Based XML Filtering
The ubiquitous adoption of XML as the standard of data exchange over the web has led to increased interest in building efficient and scalable XML publish-subscribe (pub-sub) syste...
Mariam Salloum, Vassilis J. Tsotras
PVLDB
2008
124views more  PVLDB 2008»
13 years 8 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...
CIKM
2009
Springer
14 years 1 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An