Predictive recommendation system using price boosting
AssigneeGroupon, Inc.
InventorLawrence Lee Wai
Life of this patent
Estimating the term…
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AssigneeGroupon, Inc.
InventorLawrence Lee Wai
Estimating the term…
In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers. In embodiments, predictive models based on gross revenue may be optimized using promotion category-dependent price boosting.
1-24. (canceled)
A system, comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to:
A computer-implemented method, comprising:
A computer program product, stored on a computer readable medium, comprising instructions that when executed by one or more computers cause the one or more computers to:
Dependencies are inferred from the claim text.