Applications of Data Mining to Electronic Commerce
Ronny Kohavi, Foster Provost
Springer US, Feb 28, 2001 - Computers - 153 pages
Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area.
Applications of Data Mining to Electronic Commerce serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
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Personalization of Supermarket Product Recommendations
ExpertDriven Validation of RuleBased User Models in Personalization
Visualization and Analysis of Clickstream Data of Online Stores
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active sessions aggregated algorithms analysis association rules attribute hierarchy behavior browsing CDNOW clickstream data clickthroughs cluster collaborative filtering computed Conference on Knowledge consumers conversion efficiency customer log customer sessions customer's data mining database described discovered rules Discovery and Data E-commerce electronic commerce evaluate example figure hyperlinks individual input interest International Conference Knowledge Discovery Machine Learning marketing mass customization measures navigation patterns node non-customer log non-customer sessions online stores parallel coordinates paths pattern discovery performed personalized recommender presented product classes product subclass purchase query recommendation list recommender applications recommender systems relative contact efficiency rule discovery Safeway SchulWeb search strategies Section selected sequence mining shopping metaphors shopping steps SmartPad specific Spiliopoulou starfield success targeted customer techniques template Tuzhilin URLs user profiles validation operators validation process vector Velue visitors visualization Watson Research Center web usage mining