• DocumentCode
    2814894
  • Title

    Data mining and personalization technologies

  • Author

    Yu, Philip S.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    6
  • Lastpage
    13
  • Abstract
    Data mining has become increasingly popular and is widely used in various application areas. In this paper, we examine new developments in data mining and its application to personalization in E-commerce. Personalization is what merchants and publishers want to do to tailor the Web site or advertisement and product promotion to a customer based on his past behavior and inference from other like-minded people. E-commerce offers the opportunity to deploy this type of one-to-one marketing instead of the traditional mass marketing. The technology challenges to support personalization are discussed. These include the need to perform clustering and searching in very high dimensional data space with huge amount of data. We examine some of the new data mining technologies developed that can support personalization
  • Keywords
    data mining; electronic commerce; information resources; marketing data processing; E-commerce; Web site; advertisement; clustering; data mining; inference; like-minded people; merchants; one-to-one marketing; past customer behavior; personalization; product promotion; publishers; searching; very high dimensional data space; Business; Collaboration; Data mining; Databases; Demography; History; Prototypes; Space technology; Web pages; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Systems for Advanced Applications, 1999. Proceedings., 6th International Conference on
  • Conference_Location
    Hsinchu
  • Print_ISBN
    0-7695-0084-6
  • Type

    conf

  • DOI
    10.1109/DASFAA.1999.765731
  • Filename
    765731