A GA-based dynamic personalized filtering for Internet search service on multi-serach engine

M. H. Ho*, M. C. Cheng, Y. S. Chang, Shyan-Ming Yuan

*Corresponding author for this work

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

This paper proposed a methodology based on Genetic Algorithm (GA) to provide a novel way for searching via the Internet with multi-search engine. The proposed system provides a WWW interface for users to enter the keyword. The system connects to the Octopus to get all links and contents. According to the user profile, the system dynamically trains the weights of each keyword by GA, and sorts all the links to adopt 10 best-fit to the user. When the user had browsed the first viewing page and gave the system some feedbacks, the system than utilizes the user's feedbacks to re-train the weights of each remaining keywords. After the training, it uses the new weight combination for the keywords set to determine the order of the remaining links to prepare the next viewing page, and so on. The experiments show that it is suitable for those people that want to collect the comprehensive information via the Internet.

Original languageEnglish
Pages (from-to)271-276
Number of pages6
JournalCanadian Conference on Electrical and Computer Engineering
Volume1
DOIs
StatePublished - 1 Jan 2001
EventCanadian Conference on Electrical and Computer Engineering - Toronto, Ont., Canada
Duration: 13 May 200116 May 2001

Keywords

  • CORBA
  • Genetic algorithm
  • Internet search service
  • Multi-Search engine
  • Personalized filtering

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