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
Link To Document :
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