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Swarm Intelligent Surfing in the Web Jie Wu and Karl Aberer

Summary: Swarm Intelligent Surfing in the Web
Jie Wu and Karl Aberer
School of Computer and Communication Sciences
Swiss Federal Institute of Technology (EPF), Lausanne
1015 Lausanne, Switzerland
{jie.wu, karl.aberer}@epfl.ch
Abstract. Traditional ranking models used in Web search engines rely
on a static snapshot of the Web graph, basically the link structure
of the Web documents. However, visitors' browsing activities indicate
the importance of a document. In the traditional static models, the
information on document importance conveyed by interactive browsing
is neglected. The nowadays Web server/surfer model lacks the ability to
take advantage of user interaction for document ranking. We enhance
the ordinary Web server/surfer model with a mechanism inspired by
swarm intelligence to make it possible for the Web servers to interact
with Web surfers and thus obtain a proper local ranking of Web docu-
ments. The proof-of-concept implementation of our idea demonstrates
the potential of our model. The mechanism can be used directly in
deployed Web servers which enable on-the-fly creation of rankings for
Web documents local to a Web site. The local rankings can also be used1


Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne


Collections: Computer Technologies and Information Sciences