The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
A "bee hive" model for heterogenous knowledge in expert systems (abstract)
CSC '86 Proceedings of the 1986 ACM fourteenth annual conference on Computer science
Web Search Engine as a Bee Hive
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Bee Hive at Work: Story Tracking Case Study
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
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This paper discusses applying the social behaviour of bees to the web search. We proposed an on-line search of the user's predefined group of pages. In particular, this approach is based on our model of a bee hive being augmented by a model of the behaviour of bees outside the hive and by the method of assigning the page quality. With regard to the advantages of this approach, the hive as a whole seems to be able to determine the best routes of the search and reject the bad ones. This has been indicated by our first exploration tests as we report in the paper. However, a comprehensive experimentation is necessary before definitive conclusions can be made.