Predicted Destination by User Behavior Learning
AssigneeBayerische Motoren Werke Aktiengesellschaft
InventorsWangsu HU, Jilei TIAN
Life of this patent
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Abstract
A system, method and non-transitory computer-readable medium for predicting a trip destination of a user based on user behavior learning are provided. Historical behaviors and a target behavior of the user are received from a feature processing layer, and the received historical behaviors and the target behavior are embedded with features including a time and a location to produce a context modeling layer. A user modeling layer is produced by embedding the context modeling layer. A trip destination is predicted based on historical trip data and target trip data in the user modeling layer.
Claims18
A method for predicting a trip destination of a user comprising:
- receiving historical behaviors and a target behavior of the user from a feature processing layer;
- embedding the received historical behaviors and the target behavior with features including a time and a location to produce a context modeling layer;
- embedding the context modeling layer to produce a user modeling layer;
- and
- predicting the trip destination based on historical trip data and target trip data in the user modeling layer.
A non-transitory computer-readable medium storing a program that, when executed by a processor, causes the processor to perform a method comprising:
- receiving historical behaviors and a target behavior of the user from a feature processing layer;
- embedding the received historical behaviors and the target behavior with features including a time and a location to produce a context modeling layer;
- embedding the context modeling layer to produce a user modeling layer;
- and
- predicting the trip destination based on historical trip data and target trip data in the user modeling layer.
Dependencies are inferred from the claim text.