Abstract
The Internet Search Service (ISS) was proposed to support an uniform interface for searching on the World Wide Web. Based on this service, a multi-search engine named Octopus had been built. In order to provide more services, such as personal functionality, we provide personalized search for users. In this paper, the policies of personalized search are described. In addition, in order to keep the advantages of the ISS, a personal information-filtering agent is added into the Octopus instead of modifying the architecture or interface of ISS. The feedback mechanism is in cooperation with the filtering mechanism to achieve the functionality of personalized search in a search engine.
This work was supported by Ministry of Education’s Program of Excellence Research under Grant 89-E-FA04-1-4.
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Ho, MH., Chang, YS., Yuan, SM., Lo, W. (2000). An Agent-Based Personalized Search on a Multi-search Engine Based on Internet Search Service. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_59
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DOI: https://doi.org/10.1007/3-540-44491-2_59
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