Method and device for conducting classification model training
AssigneeXiaomi Inc.
InventorsPingze WANG, Tao ZHANG, Fei LONG
Life of this patent
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Abstract
A method for conducting classification model training includes: acquiring sample feature vectors of a plurality of users according to at least one feature set for each of the users, wherein the at least one feature set for a user is determined based on at least one sample message of the user; determining gender identifiers of the users according to the sample feature vectors; and conducting training based on the sample feature vectors and the gender identifiers corresponding to the sample feature vectors to construct a gender classification model.
Claims21
A method for conducting classification model training, comprising:
- acquiring sample feature vectors of a plurality of users according to at least one feature set for each of the users, wherein the at least one feature set for a user is determined based on at least one sample message of the user;
- determining gender identifiers of the users according to the sample feature vectors;
- and
- conducting training based on the sample feature vectors and the gender identifiers corresponding to the sample feature vectors to construct a gender classification model.
A device, comprising:
- a processor;
- a memory configured to store instructions executable by the processor, wherein the processor is configured to:
- acquire sample feature vectors of a plurality of users according to at least one feature set for each of the users, wherein the at least one feature set for a user is determined based on at least one sample message of the user;
- determine gender identifiers of the users according to the sample feature vectors;
- and
- conduct training based on the sample feature vectors and the gender identifiers corresponding to the sample feature vectors to construct a gender classification model.
A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a device, cause the device to perform a method for conducting classification model training, the method comprising:
- acquiring sample feature vectors of a plurality of users according to at least one feature set for each of the users, wherein the at least one feature set for a user is determined based on at least one sample message of the user;
- determining gender identifiers of the users according to the sample feature vectors;
- and
- conducting training based on the sample feature vectors and the gender identifiers corresponding to the sample feature vectors to construct a gender classification model.
Dependencies are inferred from the claim text.