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Video recommendation method, video recommendation device and computer readable storage medium

A video recommendation and computer technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of poor customer experience and insufficient recommendation accuracy, and achieve the effect of more content, improved recommendation quality, and improved user experience.

Inactive Publication Date: 2019-04-26
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this solution can solve the user's cold start problem to a certain extent, the recommendation accuracy is not high enough and the customer experience is poor

Method used

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  • Video recommendation method, video recommendation device and computer readable storage medium
  • Video recommendation method, video recommendation device and computer readable storage medium
  • Video recommendation method, video recommendation device and computer readable storage medium

Examples

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Embodiment Construction

[0052]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.

[0053] figure 1 It is a flowchart of a video recommendation method according to an exemplary embodiment, and specifically includes the following steps.

[0054] In step S101, the device ID of the unregistered user is obtained.

[0055] In step S102, the friendship data is retrieved according to the device ID to obtain the first user ID corresponding to the device ID.

[0056] In step S...

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PUM

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Abstract

The invention relates to a video recommendation method, a video recommendation device and a computer readable storage medium. The video recommendation method comprises the steps of obtaining an equipment ID of an unregistered user; Retrieving friend relationship data according to the device ID to obtain a first user ID corresponding to the device ID; Sending the video watched by the first user IDas a recommended video to a user of the device ID, the step of obtaining friend relationship data comprising: when an unregistered user watches the video based on a shared video link, obtaining the first user ID from the video link; And establishing an association relationship between the device ID of the unregistered user and the first user ID. According to the video recommendation method, the unregistered user watches the video shared by the registered user, so that the association relationship between the equipment ID of the unregistered user and the user ID of the registered user is established, the video is recommended to the unregistered user who watches less historical data accordingly, and the problem of cold start of the user is solved.

Description

technical field [0001] The present application belongs to the field of computer software applications, in particular to a video recommendation method and a video recommendation device. Background technique [0002] With the increase of data volume and computing power, personalized recommendation is becoming more and more mature. Personalized recommendation refers to the analysis of users' past behaviors, mining potential interests of users but not consuming (watching) content (atlas, video and live broadcast) , and recommend it to users in specific scenarios. The quality of the recommended content directly affects the user experience, thereby affecting the development of products and companies. Most of the current recommendation algorithms screen the content to be recommended in the "Match (coarse screening)" stage. The "Rank" stage (sorting stage) predicts the possibility of user clicks on the coarsely screened content and sorts them, and recommends them to users according...

Claims

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Application Information

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IPC IPC(8): G06F16/735
Inventor 肖战勇常超陈祯扬刘京鑫
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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