Web Search Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@MastersThesis{oai:NSYSU:etd-0911102-162515,

• title = "Web Search Using Genetic Programming",
• author = "Jain-Shing Wu",
• year = "2002",
• school = "NSYSU",
• address = "Taiwan",
• month = "11 " # sep,
• keywords = "genetic algorithms, genetic programming, Web Search, Internet, Information Retrieval",
• contributor = "Ye-In Chang and Chungnan Lee and Tung-Kuan Liu and Sue-Jin Ker",
• language = "en",
• oai = "oai:NSYSU:etd-0911102-162515",
• URL = "https://etd.lis.nsysu.edu.tw//ETD-db/ETD-search-c/view_etd?URN=etd-0911102-162515",
• URL = "https://etd.lis.nsysu.edu.tw//ETD-db/ETD-search-c/getfile?URN=etd-0911102-162515&filename=etd-0911102-162515.pdf",
• broken = "http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911102-162515",
• size = "37 pages",
• abstract = "To locate and to retrieve the needed information from the Internet is an important issue. Existing search engines may give too much useless and redundancy information. Due to the search feature is different for different search engines, its very difficult to find an optimal search scheme for all subjects. In this paper, we propose a genetic programming web search system (GPWS) to generate exact query according to a user's interests. The system can retrieve the information from the search engines, filter the retrieved results and remove the redundancy and useless results. The filtered results are displayed on a uniform user interface. Compared with the queries generated by randomly, the degree of similarity of results and user's interests are improved.",

}

Genetic Programming entries for Jain-Shing Wu

Citations