SYSTEM AND METHOD FOR IMPROVED SERVER PERFORMANCE BASED ON A USER'S MESSAGING BEHAVIOR

摘要

Disclosed are computer systems and methods for contextually targeted advertising using a regular periodicity of information derived from a user's messaging behavior. The disclosed systems and methods enable the prediction of future purchases based on a periodicity analysis of a user's purchase history, whereby advertisements can be targeted to the user based on the user's determined purchase habits. The disclosed systems and methods analyze a user's inbox by mining for purchase receipt messages, and determine a frequency of purchases associated with such receipts. Based on the determined frequency, the disclosed systems and methods can predict when subsequent like or similar purchases are to occur, whereby relevant advertisements or coupons may be served to the user in advance of the projected purchases.

主权项

1. A method comprising:
analyzing, via a computing device, an inbox associated with a user to identify purchase receipt messages associated with a purchased item, said identification comprising parsing each message in said inbox to identify messages comprising information associated with the purchased item; determining, via the computing device, a frequency associated with said purchase receipt messages, said frequency determination comprising determining a purchase pattern of said user associated with said purchased item, said purchase pattern comprising a count of each purchase receipt message and an interval between each purchase receipt message; determining, via the computing device, a future purchase event timing associated with the purchased item based on said purchase pattern, said future purchase event timing representing a forecast of a time period during which said user will purchase said item in the future; collecting, via the computing device, potential purchase information associated with said purchased item, said potential purchase information representing said future purchase event timing and said item; communicating with an ad platform, via the computing device over a network, to obtain an advertisement satisfying criteria based on said potential purchase information; and causing communication, via the computing device over the network, of said advertisement to said user at a time proximate said future purchase event timing.