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» On evaluating web search with very few relevant documents
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ASC
2008
14 years 9 months ago
AISIID: An artificial immune system for interesting information discovery on the web
There exist numerous systems for mining the web in search of relevant information but few exist for the discovery of interesting information. The discovery of interesting informat...
Andrew Secker, Alex Alves Freitas, Jon Timmis
TKDE
2008
191views more  TKDE 2008»
14 years 9 months ago
Beyond Single-Page Web Search Results
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit fo...
Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li
98
Voted
CIKM
2010
Springer
14 years 8 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
76
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AAAI
2007
15 years 11 hour ago
TableRank: A Ranking Algorithm for Table Search and Retrieval
Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effective...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
15 years 3 months ago
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontology
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...