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WWW
2008
ACM
14 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CN
1999
242views more  CN 1999»
13 years 9 months ago
Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery
The rapid growth of the World-Wide Web poses unprecedented scaling challenges for general-purpose crawlers and search engines. In this paper we describe a new hypertext resource d...
Soumen Chakrabarti, Martin van den Berg, Byron Dom
WWW
2005
ACM
14 years 10 months ago
Improving Web search efficiency via a locality based static pruning method
The unarguably fast, and continuous, growth of the volume of indexed (and indexable) documents on the Web poses a great challenge for search engines. This is true regarding not on...
Edleno Silva de Moura, Célia Francisca dos ...
ECAI
2006
Springer
14 years 1 months ago
Automatic Term Categorization by Extracting Knowledge from the Web
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
ITS
2004
Springer
121views Multimedia» more  ITS 2004»
14 years 3 months ago
A Plug-in Based Adaptive System: SAAW
The expansion of the World Wide Web and the use of computers in education have increased the demand for Web courses and, consequently, the need for systems that simplify their prod...
Leônidas de Oliveira Brandão, Seiji I...