Search Improvement By Genetic Algorithms With A Semiotic Network

نویسندگان

  • Sang-Yon Lee
  • Sung-Soon Choi
  • Byung Ro Moon
چکیده

The explosive expansion of the World Wide Web makes the search problems more challengeable. In this paper we present a search improvement method based on a semiotic connection network and a genetic algorithm. The semiotic connection network expands given keywords to an extended set of keywords. The genetic algorithm tunes up the parameters for search. The experimental results showed 6% improvement over Google's search results. The proposed method was incorporated into a commercial product.

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تاریخ انتشار 2002