Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment
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United States of America Patent
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Jul 11, 2017
Grant Date -
May 14, 2009
app pub date -
Nov 11, 2008
filing date -
Nov 14, 2007
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Abstract
Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.
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