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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37231

    Title: An agent-based consumer recommendation mechanism
    Authors: Wang, Ying-hong;Hwang, Ren-junn;Wang, Wen-nan
    Contributors: 淡江大學資訊工程學系
    Date: 2004-03
    Issue Date: 2010-01-11 12:39:36 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: The rapid development of Internet technologies is promoting e-commerce. Mobile agents are mobile, personalized, autonomous, and adaptive. These qualities make them useful for information-rich and communication-rich environments such as e-commerce. Online shopping market commerce sites have two main drawbacks: 1. Because of the different product data format in the database and representation, it is difficult to exchange information between two online markets. 2.Consumers must search and filter product information by browsing a lot of shopping sites and compare product prices by themselves. 3. It's hard to accumulate consumer loyalty. Therefore, the aim is to extend the e-commerce platform developed by our agent-based e-commerce research group and build an agent-bated consumer recommendation mechanism. On behalf of consumers, agents can trade on the e-commerce platform, record consumer preference and produce appropriate product recommendation information according to the consumer's preference.
    Relation: Advanced Information Networking and Applications, 2004. AINA 2004. 18th International Conference on (Volume:2 ), pp.143-148
    DOI: 10.1109/AINA.2004.1283774
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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