Reading guiding method and device, electronic equipment and storage medium

By obtaining user information and historical behaviors, the reading life cycle sub-stages and strategies are generated, and the picture book robot's reading guidance is adjusted, which solves the problem that the existing picture book robot cannot provide personalized reading, and improves the reading experience and model accuracy.

CN114741496AInactive Publication Date: 2022-07-12LUCA (BEIJING) INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202210337213.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2022-04-01
Publication Date
2022-07-12
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing picture book robots can only perform programmed reading through image recognition technology and cannot provide users with timely personalized reading guidance, resulting in a poor reading experience.

Method used

By obtaining the user's basic information and historical reading behavior information, the user's current reading life cycle sub-stage is generated, and the reading guidance strategy is adjusted according to the stage and the user's emotional state, and personalized reading guidance information is sent, including operational and encouraging types. Information, adjust the logical analysis model to improve the reading experience.

Benefits of technology

It realizes personalized reading guidance based on the user's interests and habits in different reading life cycle sub-stages, improves the reading experience, makes the picture book robot an effective reading partner for the user, and improves the correctness of the reading guidance information and the accuracy of the logical analysis model. sex.

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Abstract

The invention relates to a reading guiding method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the reading guiding method comprises the steps: obtaining basic information and historical reading behavior information of a user; inputting the basic information and the historical reading behavior information of the user into a first logic analysis model, and generating a reading life cycle sub-stage in which the user is currently located; inputting the user basic information, the historical reading behavior information and the reading life cycle sub-stage into a second logic analysis model to generate a reading guide strategy; and sending reading guide information according to the reading guide strategy. The reading guide strategy is generated according to the reading life cycle sub-stage of the user, the interests and reading habits of the user in different sub-stages can be fully utilized to provide timely personalized reading guide for the user, the reading robot is enabled to really become a reading partner of the user, and the reading experience is improved.
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