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WIAS
2008
56views more  WIAS 2008»
13 years 7 months ago
Web search engine working as a bee hive
A new approach to web search that is based on a bee hive metaphor is presented. We proposed a modified model of a bee hive. Our model comprises of a dance floor, an auditorium, and...
Pavol Návrat, Martin Kovacik, Anna Bou Ezze...
WWW
2010
ACM
14 years 2 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
CIKM
2009
Springer
13 years 9 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
SIGIR
2003
ACM
14 years 1 months ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute user...
Rinat Khoussainov, Nicholas Kushmerick
WWW
2009
ACM
14 years 8 months ago
Dataplorer: a scalable search engine for the data web
More and more structured information in the form of semantic data is nowadays available. It offers a wide range of new possibilities especially for semantic search and Web data in...
Haofen Wang, Qiaoling Liu, Gui-Rong Xue, Yong Yu, ...