LEARNING USER PURCHASE INTENT FROM USER-CENTRIC DATA
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United States of America Patent
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Issued Date -
May 6, 2010
app pub date -
Oct 31, 2008
filing date -
Oct 31, 2008
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A method of predicting user purchase intent from user-centric data includes applying a classification model to a user-centric clickstream, where the classification model predicting a likelihood of a future user purchase by a user within one or more product categories, and customizing content displayed to the user based on the likelihood of future user purchase. A system of predicting user purchase intent from user-centric data includes a computer programmed to record a user's clickstream data as a user accesses a plurality of different websites. The computer is also loaded with a classification model configured to predict a likelihood of a future user purchase by the user within one or more product categories based on the clickstream data. A method of predicting user purchase intent from user-centric data includes, with a user's own computer, recording user-centric clickstream data based on visits to a plurality of different websites; and storing a smart cooked based on the clickstream data on the user's own computer.
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