Exploring Social Behaviour of Honey Bees Searching on the Web

Abstract

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.

Artificial Bee Colony based Approach for Web Information Retrieval

“…Na΄vrat, Kovacik [7] proposed a modified model of a bee hive for web search engine. Na΄vrat, Jastrzembska´, Jeli΄nek, Bou Ezzeddine, Rozinajova´ [8] presented a new approach for on-line web search engine inspired by the social behavior of honey bees.…”

A survey: algorithms simulating bee swarm intelligence

“…Bee Hive Metaphor is a simple model that describes some processes taking place in web search (Navrat and Kovacik 2006). Navrat et al (2007) used Bee Hive Metaphor for an on-line search of the user's predefined group of pages. Authors claim that the hive determines the best routes of the search and rejects the bad ones by the experiments reported in the paper.…”

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What's going on out there right now? A beehive based machine to give snapshot of the ongoing stories on the Web

“…Results have been retrieved by intelligent agents cooperating as a bee swarm, communicating and propagating the best sources by dancing. Further development of this idea was pursued in [13] by elaborating on the web crawler part of the proposed search engine. In a follow up research, further possibilities of BM deployment for function optimization and hierarchical optimization are presented in [14].…”