SP service monitoring method based on user group consumption experience

Abstract

The invention discloses an SP service monitoring method based on user group consumption experience. The method includes the following steps that SP service lists ordered by users are obtained through user bills to built a client sample library, and are synchronized to a server sample library; a user group feature library is built by collecting user basic information and user consumption habit information; when a mobile phone application initiates SP service query, a current user is matched by means of the user group feature library, and the SP service lists matched with historical orders of the matched user are fed back from the client sample library or the server sample library; the fed back SP service lists of the historical orders are sequenced at a client side to be selected and ordered by the user. According to the method, SP services ordered by the user are obtained through the user bills, the client sample library is built, and the user is matched according to the user group feature library, so that precise statistical monitoring is provided for use experience of the SP services, order demands of the users are better met, and high-quality SP recommendation is provided.

Description

technical field [0001] The invention relates to a SP service monitoring method, in particular to a SP service monitoring method based on user group consumption experience. Background technique [0002] SP is the abbreviation of Service Provider in English, translated into Chinese as Service Provider, usually refers to the social cooperation unit that operates value-added services in the mobile network. SP establishes a service platform connected to the mobile network to provide mobile phone users with a series of information services, such as: entertainment, games, SMS, MMS, WAP, ring tones, ringtone downloads, positioning, etc. [0003] The emergence of SP makes the telephone not only a communication tool, but also a tool for obtaining information. At present, there are often consumption traps in some SP businesses, which damages the interests of users and damages the overall reputation of the SP industry. There are several types of traps: [0004] Menu trap: An operator...

AI Technical Summary

Problems solved by technology

[0015] 1. The update workload is heavy: With the continuous development of the market, the types of SPs are increasing, and the blacklist needs to be continuously updated. However, because the blacklist needs to be identified by the server, and there are some disputes, it is difficult to automatically determine whether it is a malicious SP.

[0016] 2. A one-size-fits-all problem: In the blacklist solution, the SP business is only divided into two types, malicious SP and legitimate SP, but there are still problems of low quality or poor experience among legitimate SPs

[0017] 3. Deprivation of user needs: Although malicious SPs have been warned and filtered, the real needs of users have not been met, and users cannot know how to order real high-quality and value-for-money SP services

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