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, it¡¦s 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.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0911102-162515 |
| Date | 11 September 2002 |
| Creators | Wu, Jain-Shing |
| Contributors | Ye-In Chang, Chungnan Lee, Tung-Kuan Liu, Sue-Jin Ker |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911102-162515 |
| Rights | off_campus_withheld, Copyright information available at source archive |
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