| 摘要 |
One embodiment of the present invention provides a system for optimizing the performance of a recommendation engine by generating an optimal recommendation time window. During operation, the system receives user click-through behavior on past recommendations and current user information, such as demographics and location. The system also receives information on one or more offers. The system determines the appropriate user-group for each user, and appropriate offer-group for each offer. The system then generates an optimal time period for a given recommendation for a given user and offer, wherein the optimal recommendation time window is the period when the offer is most likely to be accepted. |
