Title :
Web search using a genetic algorithm
Author :
Nick, Zacharis Z. ; Themis, Panayiotopoulos
Author_Institution :
Knowledge Eng. Lab., Univ. of Piraeus, Greece
Abstract :
Webnaut is an intelligent agent system that uses a genetic algorithm to collect and recommend Web pages. A feedback mechanism adapts to user interests as they evolve. The authors first describe intelligent assistant systems in general and then present the Webnaut architecture, its learning agent, and the genetic algorithm. They conclude with results from two preliminary experiments that tested the accuracy and adaptability of the learning agent
Keywords :
genetic algorithms; information resources; information retrieval; online front-ends; software agents; Web pages; Web search; feedback mechanism; genetic algorithm; intelligent agent system; intelligent assistant systems; learning agent; user interests; Artificial intelligence; Feedback; Genetic algorithms; Indexes; Intelligent agent; Internet; Metasearch; Search engines; Spatial databases; Web search;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/4236.914644
