| 摘要 |
A method for adaptive display of internet advertisements to look-alike users using a desired user profile dataset as a seed to machine learning modules. Upon availability of a desired user profile, that user profile is mapped other look-alike users (from a larger database of users). The method proceeds to normalize the desired user profile object, proceeds to normalize known user profile objects, then seeding a machine-learning training model with the normalized desired user profile object. A scoring engine uses the normalized user profiles for matching based on extracted features (i.e. extracted from the normalized user profile objects). Once look-alike users have been identified, the internet display system may serve advertisements to the look-alike users, and analyze look-alike users' behaviors for storing the predicted similar user profile objects into the desired user profile object dataset, thus adapting to changing user behavior. |
| 主权项 |
1. A method for adaptive display of an advertisement to look-alike users using a desired user profile dataset, the method comprising:
obtaining, by a computer, a plurality of known user profiles of known users who have been recorded to interact with an advertiser, wherein each of the plurality of known user profiles includes:
historical components reflecting a stream of events of the known user prior to a current time, anda temporary component reflecting a state of the known user at the current time; automatically creating, by a computer, a plurality of desired user profiles of desired users who are not included in the plurality of known user profiles, wherein each of the plurality of the desired user profiles includes:
historical components reflecting a stream of events of the desired user prior to the current time, anda temporary component reflecting a state of the desired user at the current time; scoring, by a computer with a machine-learned model, similarities between the plurality of desired user profiles with the plurality of known user profiles based on the temporal component of the plurality of known user profile and the temporal component of the plurality of desired user profile for adapting to changes of user behavior; selecting, by a computer, a predicted user from the desired users based on the score of the plurality of desired user profile and; and serving, by a computer, an advertisement to the predicted user. |
