Patent ID: 11915311
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. An information processing apparatus, the apparatus comprising:
processing circuitry configured to
obtain default annotation information of a plurality of sampled users;
obtain an initial user score and an initial relative user score for each of the sampled users, the initial user score of the respective sampled user being determined as the initial relative user score of the respective sampled user when the initial user score of the respective sampled user cannot be calculated;
train a user score model in an initial iteration of i iterations according to the initial user score, the initial relative user score, and the default annotation information for each of the sampled users, i being equal to 1 for the initial iteration, the user score model being configured to output a second user score for each of the sampled users based on the initial user score, the initial relative user score, and the default annotation information of the respective sampled user, the second user score being used to train the user score model in a second iteration, i being equal to 2 for the second iteration;
for each of the i iterations after the initial training, train the user score model according to ith user scores of the sampled users for the respective iteration and ith relative user scores of the sampled users in the respective iteration, the user score model being configured to output an (i+1)th user score for each of the sampled users based on the ith user score of the respective sampled user and the ith relative user score of the respective sampled user;
determine whether training of the user score model is completed based on whether the (i+1)th user scores of the sampled users satisfy a training termination condition; and
obtain a trained user score model when the (i+1)th score of each of the sampled users satisfies the training termination condition,

the ith relative user score of one of the sampled users being calculated according to an ith user score of each of one or more other users that has a social relation with the one of the sampled users; and
the default annotation information of the one of the sampled users being used to classify the one of the sampled users.