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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/76543
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76543


    Title: A recommendation-based pricing system for information goods versioning
    Authors: Chang, W.-L.;Yuan, Soe-Tsyr
    苑守慈
    Contributors: 資管系
    Keywords: Automatic systems;Economic models;Emerging topics;Information goods;Knowledge base;Mean error rate;Pricing systems;Testing method;Versioning;Economics;Knowledge based systems;Profitability;Computer software maintenance
    Date: 2007-11
    Issue Date: 2015-07-13 17:02:47 (UTC+8)
    Abstract: Information goods versioning is an essential and emerging topic of information goods pricing. Myriad researchers have devoted considerable attention to developing and testing methods in terms of versioning. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses the software maintenance concept (mean error rate) to develop a recommendation-based system which maintains the profits automatically with recommendations. The present paper also proposes economic model and algorithm to prove the feasibility with certain contributions: (1) provides an automatic system to maintain the profits, (2) deliberates the recommendations from knowledge base, and (3) offers an appropriate recommendation to versioning strategy. © 2006 ACADEMY PUBLISHER.
    Relation: Journal of Computers, 2(9), 67-76
    Data Type: article
    DOI 連結: http://dx.doi.org/10.4304/jcp.2.9.67-76
    DOI: 10.4304/jcp.2.9.67-76
    Appears in Collections:[資訊管理學系] 期刊論文

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