Design and implementation of web mining system based on multi-agent

  • Authors:

  • Wenbin Hu;Bo Meng

  • Affiliations:

  • Computer Application Department, College of Computer, Wuhan University, Hubei, China;Computer Application Department, College of Computer, Wuhan University, Hubei, China

  • Venue:
  • ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Some challenges for website designers are to provide correct and useful information to individual user with different backgrounds and interests, as well as to increase user satisfaction. Most existing Web search tools work only with individual users and do not help a user benefit from previous search experience of others. In this paper, a collaborative Web Mining System, Collector Engine System is presented, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in web search and mining. This system allows the user to annotate search sessions and share them with other users. The prototype system and component of Collector Engine System is discussed and described, and especially designs the web Agent, the knowledge discovery of web Agent is extracted based on a combination of web usage mining and machine learning. The system model is established and realized by J2EE technology. The system's application shows that subjects' search performances are improved, compared to individual search scenarios, in which users have no access to previous searches, when they have access to a limited of earlier search session done by other users.