RECOMMENDATIONS UTILIZING META-DATA BASED PAIR-WISE LIFT PREDICTIONS
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United States of America Patent
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Issued Date -
Apr 24, 2008
app pub date -
Oct 24, 2006
filing date -
Oct 24, 2006
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Abandoned
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Abstract
The subject disclosure pertains to systems and methods for facilitating generation of item recommendations based at least in part upon pair-wise lift. Pair-wise lift is a measure of correlation between a pair of items and is generally calculated based upon past usage data. If usage data is insufficient or unavailable, pair-wise lift for a pair of items can be estimated based upon metadata associated with the items. In other aspects, pair-wise lift can be used to generate an explanation for recommended items. An explanation for an item recommendation can be based upon common metadata features associated with the item pair. The relative impact each metadata feature has on predicted pair-wise lift can be evaluated to determine the common feature(s) most likely to have caused the item to be recommended.
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