WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points
Subtitle: Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers ... / Lecture Notes in Artificial Intelligence)
Contributors: Ron Kohavi (Editor); Brij M. Masand (Editor); Myra Spiliopoulou (Editor); Jaideep Srivastava (Editor)
Edition: 1 edition
Publisher: Springer
Published: September 17, 2002
Language: eng
Format: Paperback
Number of pages: 167
ISBN-13: 9783540439691
Subjects: Computer modelling & simulation; Databases & data structures; World Wide Web (WWW); Electronic commerce; Computers; Information Storage & Retrieval; Artificial Intelligence; Database Engineering; Computers - General Information; Database Management - General; Computer Books: General; Artificial Intelligence - General; General; Association Rule Mining; Cluster Analysis; Computers / Artificial Intelligence; Customer Management; Data Mining; E-Commerce; Internet Data Mining; Internet users; Web usage mining; Congresses
First sentence: The way users navigate a Web site can be used to learn about their preferences and offer them a better adapted interface, from improving site design [43] to offering dynamic personalization [33].