Silk from a sow's ear: extracting usable structures from the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ant World (demonstration abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Web Work: Information Seeking and Knowledge Work on the World Wide Web
Web Work: Information Seeking and Knowledge Work on the World Wide Web
A framework for decentralized ranking in web information retrieval
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Information Sciences: an International Journal
Towards a common framework for peer-to-peer web retrieval
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
An examination on emergence from social behavior: a case in information retrieval
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Hi-index | 0.01 |
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 documents. 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 used as input for the generation of global Web rankings in a decentralized way.