Personalized content recommendation method and device and storage medium

A technology for content recommendation and recommendation value, applied in the Internet field, can solve the problem of inaccurate recommendation, and achieve the effect of automation and personalization, satisfying preferences, and accurate results.

Active Publication Date: 2020-05-29
ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a personalized content recommendation method, device and storage medium to solve the problem of inaccurate content recommendation in the prior art

Method used

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  • Personalized content recommendation method and device and storage medium
  • Personalized content recommendation method and device and storage medium
  • Personalized content recommendation method and device and storage medium

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Embodiment Construction

[0046] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0047] The first embodiment of the present invention provides a personalized content recommendation method, such as figure 1 shown, including the following specific steps:

[0048] Step S101, generating program tags for each program in the video library;

[0049] Step S102, collecting user behavior data, and generating the user's current label according to the user behavior data and the current viewing time;

[0050] Step S103, a...

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Abstract

The invention discloses a personalized content recommendation method and device and a storage medium. The method comprises the following steps: generating a program label for each program in a film and television library; collecting user behavior data, and generating a user current label according to the user behavior data and the current watching time; screening programs in a film and televisionlibrary according to the current label of the user to obtain a plurality of recommended programs; performing weighted integral calculation on the recommended programs by utilizing the current user label and the program labels of the recommended programs to obtain recommended values of the recommended programs; and displaying the recommended programs and the recommended values corresponding to therecommended programs to the user. According to the invention, the personalized label and the program label are used for scoring according to the preset scoring rule, the recommended resources are output to the user according to the scores of the resources, automation and personalization of content recommendation are achieved, meanwhile, the recommendation result is more accurate, and the preference of the user is met.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a personalized content recommendation method, device and storage medium. Background technique [0002] With the rapid development of network business, the business platform provides users with massive content resources and services, and the application fields of recommendation technology are also increasing. For example, audio-visual entertainment recommendation, news recommendation, business recommendation, entertainment recommendation, learning recommendation, shopping recommendation, decision support, etc. The innovation, practicability, real-time and simplicity of the recommendation method are getting stronger and stronger. However, due to the influence of the traditional "broadcasting" business model thinking and technical limitations, the existing recommendation is more of a popular and undifferentiated recommendation. Even if there are some explorations of pe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0631Y02D10/00
Inventor 李婷婷朱里越欧阳峰
Owner ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
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