Resource recommendation method based on user emotion information, intelligent device and storage medium

A recommendation method and technology for users, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve the problems of not considering users, unable to be intelligent, humanized users, etc.

Pending Publication Date: 2020-06-16
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the recommendation methods in the prior art do not take into account the user's emotional information, such as the user's expression, voice and other real emotional informa

Method used

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  • Resource recommendation method based on user emotion information, intelligent device and storage medium
  • Resource recommendation method based on user emotion information, intelligent device and storage medium
  • Resource recommendation method based on user emotion information, intelligent device and storage medium

Examples

Experimental program
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Effect test

example 1

[0078] Scenario example 1: "Zhang San" likes to listen to music, and the music recommendation system will combine "Zhang San"'s listening habits to recommend him a playlist corresponding to the music genre, but the playlist recommended here does not consider "Zhang San"'s emotion state. By adopting the technical solution of the present invention, the emotional state of "Zhang San" can be monitored in real time, such as "sadness", "anger", "calm", "disgust", "fear", "happy", "surprised", "excited" etc., and combine "Zhang San"'s operating habits on mobile devices (smart devices) to analyze his hobbies, such as "reading", "music", "movies", etc., and finally integrate these features in the recommendation system to recommend Resources that soothe corresponding emotions. For example, if "Zhang San" has been in a sad state for a long time, the present invention will detect in real time that he is in a sad state and loves music, and the recommendation system will select cheerful so...

example 2

[0079] Scene example 2: "Zhang San" is a writer who spends a lot of time on creation. Occasionally, when he is tired, he will read some light articles to soothe his mood, and he can't help laughing when he encounters something particularly funny ; If the technical solution of the present invention is applied to the recommendation system, the recommendation system will select those articles that really make him laugh to recommend according to his responses to different articles.

example 3

[0080] Scenario example 3: "Zhang San" often browses short videos on video websites, and the playback of video resources is automatically controlled by the system; when he sees many of his idols, he always smiles or gives praise, but When he arrives at his favorite idol, he will be very excited, even cheering and screaming; a general recommendation system may recommend related resources for him according to his browsing behavior, but ignores his emotional characteristics; adopting the technical solution of the present invention , not only can find the video resources of his favorite idol according to his emotional characteristics, but can even rank these resources according to the granularity of emotional characteristics.

[0081] The present invention collects and analyzes the user's emotional characteristics in real time, analyzes the user's emotional state based on a deep learning model, and achieves the purpose of optimizing the recommendation system, so that the personaliz...

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Abstract

The invention discloses a resource recommendation method based on user emotion information, an intelligent device and a storage medium, and the method comprises the steps: monitoring and collecting emotion information of a user in real time, and carrying out preprocessing of the emotion information; inputting the preprocessed emotion information into a deep learning network model to extract emotion features, and calling hobby features generated in advance according to operation habits and personal interests of the user in the intelligent device; and generating a resource recommendation resultin combination with the emotional characteristics and hobby characteristics of the user, and feeding back a final recommendation result to the user after filtering processing. According to the invention, the emotional characteristics of the user are collected and analyzed in real time; the deep learning network model analyzes the emotional state of the user, optimizes the resource recommendation,increases the emotional information of the user, further explores the personalized demands of the user, continues to filter out the resources meeting the demands of the user based on the interested resources of the user, and recommends the resources to the user, so that the method is more intelligent and humanized.

Description

technical field [0001] The present invention relates to the technical field of resource recommendation, in particular to a resource recommendation method based on user emotion information, an intelligent device and a storage medium. Background technique [0002] Personalized recommendation aims to provide users with personalized information services and decision support according to the needs of users. In recent years, there have been many very successful recommendation examples. The general recommendation method obtains user information from the following aspects for analysis and recommendation: [0003] (1) User attributes: demographic information, including age, gender, etc.; [0004] (2) Information manually entered by the user: including keywords entered by the user in the search engine, information fed back by the user, preference for the recommended object, etc.; [0005] (3) User's browsing behavior and browsing content: including browsing times, frequency, stay tim...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06N3/04
CPCG06N3/045
Inventor 王一尧李靖阳
Owner TCL CORPORATION
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