Federated learning for media content recommendation
AssigneeLemon Inc.
InventorHaipeng GAO
Life of this patent
Estimating the term…
Abstract
A method is proposed for media content recommendation. In the method, a client device obtains a first version of a machine learning model for media content recommendation from a server. A first set of media contents is recommended based on local information of the client device according to the first version of the machine learning model. An update to the machine learning model is determined based on respective interactions of the user with the first set of media contents. The client device provides the update to the server.
Claims20
A method of training a model, comprising:
- obtaining, at a client device from a server, a first version of a machine learning model for media content recommendation;
- recommending, based on local information of the client device, a first set of media contents according to the first version of the machine learning model;
- determining an update to the machine learning model based on respective interactions of the user with the first set of media contents;
- and
- providing the update to the server.
An electronic device, comprising a computer processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the computer processor implements a method for media content recommendation, the method comprising:
- obtaining, from a server, a first version of a machine learning model for media content recommendation;
- recommending, based on local information of the electronic device, a first set of media contents according to the first version of the machine learning model;
- determining an update to the machine learning model based on respective interactions of the user with the first set of media contents;
- and
- providing the update to the server.
A computer program product, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by an electronic device to cause the electronic device to perform a method for media content recommendation, the method comprises:
- obtaining a first version of a machine learning model for media content recommendation;
- recommending, based on local information of the electronic device, a first set of media contents according to the first version of the machine learning model;
- determining an update to the machine learning model based on respective interactions of the user with the first set of media contents;
- and
- providing the update to the server.
Dependencies are inferred from the claim text.