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Method and device for generating user characteristics, equipment and storage medium

A technology of user characteristics and user accounts, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem that users cannot generate effective user characteristics.

Active Publication Date: 2018-11-30
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present application provides a method, device, device, and storage medium for generating user characteristics, which can be used to solve the problem that the generation method in the related art cannot generate valid user characteristics for users whose attribute information is empty, incomplete or wrong

Method used

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  • Method and device for generating user characteristics, equipment and storage medium
  • Method and device for generating user characteristics, equipment and storage medium
  • Method and device for generating user characteristics, equipment and storage medium

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Embodiment Construction

[0034] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0035] The embodiment of the present application provides a technical solution for extracting user features based on the user's viewing history and / or search history. The technical solution can be used in the training process and use process of the neural network model related to the video playing system. Typically, the user features can be used for the training and use of the candidate...

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Abstract

The invention discloses a method and device for generating user characteristics, equipment and a storage medium and relates to the field of video recommendation. The method for generating the user characteristics comprises the steps of: obtaining a time series corresponding relationship between n groups of target videos and user accounts to obtain a word embedding matrix; training the word embedding matrix by using a loss function; and determining word vectors corresponding to the user accounts in the trained word embedding matrix as the user characteristics of the user accounts. According tothe method, the user characteristics are extracted on the basis of watching history and / or searching history of users; as long as the users normally use a video system, the data are continuously generated and updated without relying on other data sources; and therefore, the problem that the effective user characteristics cannot be generated for the users with empty or incomplete or incorrect attribute information, of a method in related work, can be solved and the accurate user characteristics can be generated for the users who use the video system.

Description

technical field [0001] The present application relates to the field of video recommendation, and in particular to a method, device, device and storage medium for generating user characteristics. Background technique [0002] A video recommendation system is a system for recommending other potentially interesting videos to a user based on the user's viewing history and / or search history. A typical video recommendation system includes: a candidate generation model and a ranking model. After inputting a user's viewing history and / or search history into the candidate generation model, M recommended videos are obtained; then M recommended videos are input into the sorting model, and the sorting model will sort the M recommended videos according to the degree of user's possible interest After sorting, output to this user. Wherein, M is a positive integer. [0003] The candidate generation model in the related art is realized by using DNN (DeepNeuralNetworks, deep neural network...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/30
CPCG06F18/21H04N21/252H04N21/8352H04N21/4666H04N21/4668H04N21/44222H04N21/6582H04N21/25891H04N21/4532H04N21/251H04N21/4826G06F16/75G06F16/78G06N3/084G06N3/042G06N3/045G06N3/0475
Inventor 李雪松卢靓妮冯袁
Owner TENCENT TECH (SHENZHEN) CO LTD
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