Incoming number analysis and reminder method and system based on cloud server database

Abstract

The application discloses a caller ID analyzing-reminding method and system based on a cloud server database. A server is connected to a client. The method comprises the following steps that: a server receives a number analysis request sent by the client, wherein the number analysis request includes an unidentified number; the server inquires whether or not the unidentified number exists in a nuisance number database; when the inquiry indicates that the unidentified number is the same as a certain marked number in a plurality of marked nuisance numbers, the server confirms that the unidentified number is a nuisance number and generates a first indication message, wherein the first indication message indicates that the unidentified number is the nuisance number; when the inquiry indicates that the unidentified number is not the same as the plurality of marked nuisance numbers, the server confirms that the unidentified number is not a nuisance number; and the server sends the first indication message to the client to notify. Through adoption of the method disclosed by the invention, a more reliable nuisance call inquiry result can be provided.

Description

technical field [0001] This application relates to the field of Internet application technology, in particular, to a method for establishing a harassing number database in the cloud, a caller number analysis and reminder method based on the harassing number database, and a corresponding system. Background technique [0002] Mobile phone calls are one of the most commonly used means of communication in modern society. However, with the increasingly serious information leakage in modern society, user numbers are often leaked to some unscrupulous merchants or scammers, and users often suffer from sales calls or even scams. harassment, resulting in a very unpleasant user experience. For mobile phone users, it is highly desirable to identify these numbers as harassing calls and add them to the blacklist. [0003] There are many methods for preventing harassing calls in the prior art, for example, it is common to manually set a blacklist by a user to prevent harassing calls. In ...

AI Technical Summary

Problems solved by technology

Although this technology can help users obtain the nuisance call list from the cloud without the user's own judgment, it has significant disadvantages: the user needs to download the nuisance call list regularly, but the data volume of the nuisance call list may be too large (for example, including millions of Harassing call information), which may contain a lot of phone information irrelevant to the user

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