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ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
14 years 1 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 ...
SIGIR
2010
ACM
13 years 11 months ago
Studying trailfinding algorithms for enhanced web search
Search engines return ranked lists of Web pages in response to queries. These pages are starting points for post-query navigation, but may be insufficient for search tasks involvi...
Adish Singla, Ryen White, Jeff Huang
NLPRS
2001
Springer
13 years 12 months ago
Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs
This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method...
Eric Brill, Gary Kacmarcik, Chris Brockett
CHI
2010
ACM
14 years 2 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan
WWW
2008
ACM
14 years 8 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...