Method and system for estimating tendency of user to network social tools

Abstract

The invention discloses a method and a system for estimating the tendency of a user to network social tools. The method comprises the steps of selecting a plurality of sample users from registered users of a network social platform; executing the operations on any network social tool in the network social platform as follows: aiming at each sample user, counting the sample activity times and activity time, using the network social tool in each counting period, of the sample user in a set time period; aiming at each counting period, calculating the tendency factor of the sample user for the network social tool in the counting period; determining the tendency factor of the sample user for the network social tool in the set time period according to the tendency factor of the sample user for the network social tool in each counting period; averaging the tendency factors of all the sample users for the network social tool in the set time period to obtain the tendency estimation result of a user group for the network social tool. The accuracy of tendency estimation can be improved by using the method and the system.

Description

Technical field [0001] The present invention relates to the Internet field, and in particular to a method and system for evaluating users' propensity to network social tools. Background technique [0002] The online social platform is where people socialize through the Internet, get to know more people with the same interests and hobbies, and use this platform to connect with each other. It is the most popular way of socializing in the new era. There are many types of online social platforms, such as Kaixin, Renren, and Friends. [0003] Online social platforms often provide various online social tools to facilitate users to socialize and communicate information in a variety of ways; for example, online social platforms usually provide information such as "friends' logs", "friends' sharing", and "friends' Network social tools such as status", "message board", "update your homepage", "friend circle" and so on. Moreover, in actual applications, users often have a certain tendency t...

AI Technical Summary

Problems solved by technology

However, in the process of offline questionnaire survey for online social tools, a lot of manpower is needed to collect and organize the answers given by users, which will consume a lot of time and manpower, and the evaluation cost is high; moreover, in practical applications, in order to To obtain the user's answer sheet, it is often necessary to distribute small gifts to the user, which will further increase the cost of propensity evaluation

[0006] Using online questionnaire surveys to evaluate users’ inclination towards online social tools can reduce the evaluation cost; however, in the process of conducting online questionnaire surveys on online social tools, users need to conduct questionnaire surveys on online social platforms. Answering questionnaires takes up user time and interferes with the user experience of social networking tools

Moreover, in practical applications, whether it is offline or online, the answers to the questionnaires are the subjective answers of the customers, and the authenticity of the user's answers cannot be verified, which may lead to more invalid data in the evaluation process, which in turn makes the evaluation of propensity difficult. The accuracy is not high

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