Man-machine conversation method based on role accompanying

Abstract

The invention discloses a man-machine conversation method based on role accompanying. The method comprises the steps that a user selects role attributes of an intelligent assistant, and head portraitinformation and user gender of the intelligent assistant are set; the server side reads role attributes, user gender, head portrait information and active input information; the server side extracts keywords in the active input information and identifies image features in the head portrait information; the server side screens at least one piece of first exclusive reply content matched with the role attribute, the user gender and the keyword from a database, and screens at least one piece of second exclusive reply content related to the image features; and the server randomly selects one pieceof first exclusive reply content and sends the first exclusive reply content to the client to be displayed through the intelligent assistant, or randomly combines one piece of first exclusive reply content and one piece of second reply content and sends the combined contents to the client to be displayed through the intelligent assistant. According to the invention, different exclusive reply contents are screened for each character attribute, head portrait and gender, so that the accompanying feeling can be increased.

Description

technical field [0001] The present invention relates to the application field of software technology, and more specifically, relates to a man-machine dialogue method based on role companionship. Background technique [0002] With the continuous development and progress of technology and the mobile Internet, the communication between people is increasingly lacking in emotion. People are immersed in the Internet age, and everything in life and study is inseparable from the Internet, but the application software is constantly iteratively updated every day. (APP), but it is still difficult to change the extremely low retention rate of most applications. Therefore, more and more application software are beginning to try to improve efficiency and companionship through intelligent reply, so as to improve user retention rate. [0003] But in actual application, the existing application software is based on functions to do some replies, such as helping users choose funds, etc., but ...

AI Technical Summary

Problems solved by technology

[0003] But in actual application, the existing application software is based on functions to do some replies, such as helping users choose funds, etc., but only through the tab reply form, which is relatively blunt, lacks a sense of companionship, and the effect is not ideal. At the same time, this method It is not suitable for application scenarios where modern people urgently need emotional support

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