Group notification method, system and storage medium based on user behavior

A user and behavior technology, applied in the field of big data analysis, can solve the problems of inconvenience of travel, limited application of big data analysis, users cannot get reminders, etc., and achieve the effect of high accuracy
CN107666398BActive Publication Date: 2020-08-04INVENTECSHANGHAI TECH +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INVENTECSHANGHAI TECH
Publication Date
2020-08-04

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Patent Text Reader

Abstract

The invention provides a user behavior-based group notification method, a system and a storage medium. The method comprises the steps of receiving the user information collected by terminal equipmentin real time at the cloud, wherein the user information contains the real-time position information of a user; according to the real-time position information of the user, judging the behavior mode ofthe user at the cloud; according to the information and the behavior mode of the user, establishing a group for corresponding terminal equipment; receiving the related article information at the cloud, wherein the related article information is collected by terminal equipment in the group; monitoring related articles in the group at the cloud, and sending the notification information corresponding to the related articles to terminal equipment in the group. According to the method, user behavior analysis is achieved based on big data. Meanwhile, a group is established for users having the samebehavior. Therefore, when the users are in a specific scene, a group notification message is triggered to remind each user in the group. As a result, the lives and the work of users are facilitated.
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Description

technical field

[0001] The present invention relates to the technical field of big data analysis, in particular to a group notification method, system and storage medium based on user behavior. Background technique

[0002] Big data analysis refers to the analysis of huge-scale data, which has the characteristics of large data volume, fast speed, multiple types, high value, and strong authenticity. In various fields such as consumption, finance, industry, and medical care, big data analysis is playing an increasingly important role.

[0003] For example, sleep monitoring equipment based on big data analysis. After the user falls asleep, the sleep condition is automatically detected and the surrounding environment (including sound, light, temperature, etc.) is analyzed, and the surrounding environment is adjusted to match the user's sleep condition. When the user cannot fall asleep, the sleep monitoring device can automatically play soothing music to help the user fall asle...

Claims

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