Data mining and personalization technologies

被引:24
|
作者
Yu, PS [1 ]
机构
[1] IBM Corp, Thomas J Watson Res Ctr, Yorktown Heights, NY 10598 USA
关键词
D O I
10.1109/DASFAA.1999.765731
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 will be discussed. These include the need to perform clustering and searching in very high dimensional data space with huge amount of data. We'll examine some of the new data mining technologies developed that can support personalization.
引用
收藏
页码:6 / 13
页数:8
相关论文
共 50 条
  • [11] Web mining for Web personalization
    Eirinaki, Magdalini
    Vazirgiannis, Michalis
    [J]. ACM Transactions on Internet Technology, 2003, 3 (01) : 1 - 27
  • [12] On text mining techniques for personalization
    Aggarwal, CC
    Yu, PS
    [J]. NEW DIRECTIONS IN ROUGH SETS, DATA MINING, AND GRANULAR-SOFT COMPUTING, 1999, 1711 : 12 - 18
  • [13] Data Mining processing using GRID technologies
    Ciubancan, Mihai
    Neculoiu, Giorgian
    Grigoriu, Oana
    Halcu, Ionela
    Sandulescu, Virginia
    Marinescu, Mariana
    Marinescu, Viorel
    [J]. 2013 ROEDUNET INTERNATIONAL CONFERENCE (ROEDUNET): NETWORKING IN EDUCATION, 11TH EDITION, 2013,
  • [14] Applying grid technologies to distributed data mining
    Hume, AC
    Lloyd, AD
    Sloan, TM
    Carter, AC
    [J]. GRID AND COOPERATIVE COMPUTING GCC 2004, PROCEEDINGS, 2004, 3251 : 696 - 703
  • [15] Integrating Data Mining and Data Management Technologies for Scholarly Inquiry
    Larson, Ray R.
    Watry, Paul
    Marciano, Richard
    Harrison, John
    Hou, Chien-Yi
    Aguilar, Luis
    Shreyas
    Fuselier, Jerome
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2014,
  • [16] Data mining and text mining technologies for collaborative learning in an ILMS "Samurai"
    Ueno, M
    [J]. IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2004, : 1052 - 1053
  • [17] Personalization on the net using Web mining
    Mulvenna, MD
    Anand, SS
    Büchner, AG
    [J]. COMMUNICATIONS OF THE ACM, 2000, 43 (08) : 123 - 125
  • [18] Personalization technologies: A comprehensive information perspective
    Guo, YH
    Zhong, YX
    [J]. ICCC2004: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION VOL 1AND 2, 2004, : 1671 - 1675
  • [19] Twitter Data Mining for the Social Awareness of Emerging Technologies
    Li Xin
    Xie Qianqian
    Huang Lucheng
    Yuan Zhou
    [J]. 2017 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET), 2017,
  • [20] Fault Diagnosis of Automobile ECUs with data mining Technologies
    Li, Yang
    Li, Yanqiang
    Wang, Zhixue
    [J]. ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 156 - 161