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Personalized content recommendation method and system

A content recommendation and content technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of impersonalization, difficulty in obtaining effective click data to train intelligent recommendation, etc., and achieve the effect of improving user experience.

Pending Publication Date: 2022-04-12
AISPEECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to at least solve the problem in the prior art that it is difficult to obtain effective click data to train intelligent recommendations due to the lack of screens or small screens of smart devices equipped with voice products, the recommended content depends on the priority of the built-in voice skills and is not personalized.

Method used

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  • Personalized content recommendation method and system
  • Personalized content recommendation method and system

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Experimental program
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Embodiment approach

[0032] When in use, the user first wakes up the electronic device. As an implementation manner, the electronic device includes: a device with a screen and a device without a screen;

[0033] When the electronic device is a screenless device, the screenless device uses voice to display skills or selectable tags that support personalized settings to the user, and the screenless device inputs the collected user voice to the central control service;

[0034] When the electronic device is a device with a screen, the device without a screen uses screen display or voice to display skills or selectable labels that support personalized settings to the user, and the device with a screen displays the data corresponding to the clicked area of ​​the screen Or the collected user voice is input to the central control service.

[0035] The central control service performs voice recognition and / or semantic analysis and / or skill scheduling on the user's voice input from the electronic device, ...

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PUM

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Abstract

The embodiment of the invention provides a personalized content recommendation method. The method comprises the steps that a central control service enters a skill selection state in response to a personalized configuration request input by a user through electronic equipment, and skill supporting personalized setting is displayed to the user through the electronic equipment; in the skill selection state, the central control service receives a specified skill selected by the user by using the electronic equipment, and enters an interest label configuration state; and the central control service obtains personalized content preferences of the user from the content server side according to the specified skills and the corresponding selectable tags and / or self-defined tags, so that personalized configuration of the specified skills is completed, and the personalized content preferences are used for personalized content recommendation. The embodiment of the invention further provides a personalized content recommendation system. According to the embodiment of the invention, the central control service is set to realize personalized setting through a voice and click interaction mode, and personalized decision scheduling of skills is realized in combination with personalized skill data, so that the recommended content is more in line with user expectation, and the user experience is improved.

Description

technical field [0001] The invention relates to the field of intelligent voice, in particular to a personalized content recommendation method and system. Background technique [0002] Current voice products, such as smart speakers, more or less have simple search sorting or recommendation functions. When users sometimes have needs but do not have clear content, they need smart speakers to intelligently recommend personalized content to users. If the recommendation is accurate, it will bring a good experience to the user. [0003] For example, if a user wants to listen to a story, the existing model will select the corresponding content for playback based on the weights defined for different content items during training, or select the corresponding content for playback based on the popularity of the resource. [0004] In the process of realizing the present invention, the inventors have found that there are at least the following problems in the related art: [0005] Beca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/635
Inventor 李波
Owner AISPEECH CO LTD