| 摘要 |
A temporal prediction model is described that is usable to predict user purchase behavior for an online advertising instance. The temporal prediction model may be formed by processing time windows for click data, conversion data, and side information. In one or more implementations, temporal dynamics are applied to the click data, the conversion data, and/or the side information via the processed time windows. Various processing techniques of the temporal prediction model may utilize the applied temporal dynamics to predict user purchase behavior and/or effectiveness of an online advertising instance. |
