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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/71374
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/71374


    Title: A Recommender Mechanism Based on Case-Based Reasoning
    Authors: 楊亨利
    Wang, Chen-Shu;Yang, Heng-Li
    Contributors: 資管系
    Keywords: Recommender mechanism;Case-based reasoning;Multiple stage reasoning;Genetic algorithm;Artificial intelligence application
    Date: 2012.03
    Issue Date: 2014-11-13 15:07:57 (UTC+8)
    Abstract: Case-based reasoning (CBR) algorithm is particularly suitable for solving ill-defined and unstructured decision-making problems in many different areas. The traditional CBR algorithm, however, is inappropriate to deal with complicated problems and therefore needs to be further revised. This study thus proposes a next-generation CBR (GCBR) model and algorithm. GCBR presents as a new problem-solving paradigm that is a case-based recommender mechanism for assisting decision making. GCBR can resolve decision-making problems by using hierarchical criteria architecture (HCA) problem representation which involves multiple decision objectives on each level of hierarchical, multiple-level decision criteria, thereby enables decision makers to identify problems more precisely. Additionally, the proposed GCBR can also provide decision makers with series of cases in support of these multiple decision-making stages. GCBR furthermore employs a genetic algorithm in its implementation in order to reduce the effort involved in case evaluation. This study found experimentally that using GCBR for making travel-planning recommendations involved approximately 80% effort than traditional CBR, and therefore concluded that GCBR should be the next generation of case-based reasoning algorithms and can be applied to actual case-based recommender mechanism implementation.
    Relation: Expert Systems with Applications, 39(4), 4335-4343
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.09.161
    DOI: 10.1016/j.eswa.2011.09.161
    Appears in Collections:[資訊管理學系] 期刊論文

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