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Content recommendation method, device and system and storage medium

A technology for recommending content and participants, applied in speech analysis, instruments, electrical digital data processing, etc., can solve problems such as not meeting user needs

Pending Publication Date: 2021-12-17
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, existing robots cannot meet the needs of users in actual scenarios

Method used

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  • Content recommendation method, device and system and storage medium
  • Content recommendation method, device and system and storage medium
  • Content recommendation method, device and system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0142] Suppose a couple is chatting in the bedroom in the evening, such as Figure 4 As shown in , it is a schematic structural diagram of a content recommending device provided in an embodiment of the present application. Wherein, the content recommendation device may include a character recognition module, an emotion calculation module, a text analysis module, a scene recognition module, a character importance calculation module and a content recommendation module.

[0143] Wherein, the character recognition module is used to determine the feature set of each person participating in the chat and the relationship information of multiple people participating in the chat by performing character recognition according to the acquired voice information and video information.

[0144] The emotional calculation module is used to perform emotional calculation according to the acquired voice information and video information to obtain each person's emotional score on the current topic...

Embodiment 2

[0221] The first embodiment above is described by taking the household robot actively monitoring and recommending target content as an example. The scheme is described below with another embodiment.

[0222] Suppose there are three people C1, C2 and C3 talking in a public place. Among them, C1 can take the initiative to turn on his mobile phone, and click on a topic to recommend an application. When the mobile phone detects that the user triggers topic recommendation, it starts to acquire the voice information and video information of the conversation between C1, C2 and C3. Wherein, the mobile phone obtains the image information and voice information of the multi-participant dialogue, the image information includes the face image of each participant in the multi-participant; The relationship information of the plurality of participants; the emotional information of each participant is obtained according to the facial image of each participant and / or the voice information; th...

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Abstract

The embodiment of the invention discloses a content recommendation method, device and system and a storage medium in the field of artificial intelligence, and the method comprises the steps of obtaining the image information and voice information of a conversation of multiple participants, where the image information comprises the face image of each participant in the multiple participants; obtaining relation information of the plurality of participants according to the face images of the plurality of participants; acquiring emotion information of each participant according to the face image and / or voice information of each participant; obtaining an importance score of each participant according to the relationship information of the plurality of participants and the emotion information of each participant; obtaining a feature set of each participant according to the face image and / or voice information of each participant; and obtaining target recommendation content according to the importance score of each participant and the feature set of each participant. By adopting the means, content recommendation is carried out based on multi-aspect information obtained in multi-person chat, so that the intelligence of content recommendation is improved, and the user experience is improved.

Description

technical field [0001] The present application relates to the field of natural language processing, and in particular to a content recommendation method, device, system and storage medium. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is the branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. [0003] In real life, many scenarios w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06K9/00G10L17/00G10L25/63G06F40/295G06F16/33
CPCG06F16/9535G10L25/63G06F40/295G06F16/3343
Inventor 刘亚娇孟笑君
Owner HUAWEI TECH CO LTD