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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


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    题名: A recommendation-based pricing system for information goods versioning
    作者: Chang, W.-L.;Yuan, Soe-Tsyr
    苑守慈
    贡献者: 資管系
    关键词: 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
    日期: 2007-11
    上传时间: 2015-07-13 17:02:47 (UTC+8)
    摘要: 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.
    關聯: Journal of Computers, 2(9), 67-76
    数据类型: article
    DOI 連結: http://dx.doi.org/10.4304/jcp.2.9.67-76
    DOI: 10.4304/jcp.2.9.67-76
    显示于类别:[資訊管理學系] 期刊論文

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