• DocumentCode
    2098383
  • Title

    Research on Intelligent Learning Strategy for Knowledge-Enabled Customer Relationship Management Based on SOA and CBR

  • Author

    Qin, Yan ; Mu, Dan

  • Author_Institution
    Dept. of Inf. Technol. & Bus. Manage., Neusoft Inst. of Inf., Dalian, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Combined with the demand for supply chain collaboration, this paper uses Service-Oriented Architecture (SOA) technology to build dynamic supply chain integration architecture. In the meanwhile, this paper introduces Case-Based Reasoning (CBR) to achieve intelligent knowledge reasoning and discusses the knowledge-enabled Customer Relationship Management (KCRM) intelligent learning processes based on SOA and CBR and puts forward intelligent learning solution of expert heterogeneity according to the information of customer heterogeneous training characteristics.
  • Keywords
    case-based reasoning; customer relationship management; case-based reasoning; customer heterogeneous training characteristics; dynamic supply chain integration architecture; expert heterogeneity; intelligent knowledge reasoning; intelligent learning process; intelligent learning solution; knowledge-enabled customer relationship management; service oriented architecture technology; supply chain collaboration; Application software; Collaboration; Customer relationship management; Information technology; Intelligent agent; Knowledge management; Semiconductor optical amplifiers; Service oriented architecture; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5301986
  • Filename
    5301986