English  |  正體中文  |  简体中文  |  Post-Print筆數 : 20 |  Items with full text/Total items : 90058/119991 (75%)
Visitors : 24101812      Online Users : 2651
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/27344
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/27344

    Title: A Learning-Enabled Integrative Trust Model for E-Markets
    Authors: 苑守慈;Hao Sung
    Contributors: 資管系
    Date: 2004-01
    Issue Date: 2009-01-17 16:33:43 (UTC+8)
    Abstract: Existing e-markets presume no deception from agents or else they employ simple mechanisms to counteract deception. However, the reality shows that agents in e-markets can either cheat or break contracts due to higher benefits elsewhere, which is similar to what we find in humanity in general. Accordingly, the notion of trust in human society should be implemented in e-markets. Most of the existing research on trust is modeled theoretically from different views, and hence it is not easy to deploy them in e-markets due to the naturally non-computable essence of trust. However, current computable trust mechanisms, such as those used in eBay and Nextag, uniformly manipulate trust involved in all trading, resulting in complaints about non-differentiated experience. On the other hand, a computable trust model can help the formation of coalitions in e-markets and increase market competition. In this paper, we present a simple heuristic trust model absorbing the predominant views of trust with which agents in e-markets can better evaluate possible trading partners before trading processes take place. In this model, trust is characterized by the properties of being computable, individualized, evolutional, represented by scores, and extendable to the computation of coalition trust.
    Relation: Applied Artificial Intelligence, 18(1), 69-95
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1080/08839510490250105
    DOI: 10.1080/08839510490250105
    Appears in Collections:[資訊管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    6995.pdf2561KbAdobe PDF833View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback