Using data mining methods to build customer profiles

This paper describes 1:1 Pro system which constructs personal profiles based on customers' transactional histories. The system uses data mining techniques to discover a set of rules describing customers' behavior and supports human experts in validating the rules.

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Bibliographische Detailangaben
Veröffentlicht in:	Computer (Long Beach, Calif.) Calif.), 2001-02, Vol.34 (2), p.74-82
Hauptverfasser:	Adomavicius, G., Tuzhilin, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Construction Consumer behavior Customer profiles Customers Data mining Data models Decision making Demography History Human Humans Marketing Recommender systems
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