System and method for digging user attribute based on user interactive records

Abstract

The invention discloses a method and a system for mining user attributes on the basis of user interactive records, belonging to the data mining field. The method comprises the following steps: the user interactive records from various application terminals are received; data is pretreated and interactive records which are not related to the user attributes are removed; key words are extracted from the user interactive records; the extracted key words are processed and the tendency of the user attributes is calculated. The system comprises a user attribute mining server, the application terminals and a user attribute data receiving end which are connected with each other through a communication network, wherein, the user attribute data receiving end is connected with the user attribute mining server which is also connected with the application terminals through the communication network; the user attribute mining server is used for receiving the interactive records from various application terminals; the application terminals are used for transmitting the interactive records; the user attribute data receiving end is used for receiving user attribute information of a user attribute output unit.

Description

technical field [0001] The invention relates to the fields of data mining and data communication, in particular to a method and system for mining user attributes based on user interaction records. Background technique [0002] With the popularization of the Internet and mobile networks, people communicate through the network has become more and more popular, SMS, Instant Messaging (IM, Instant Messager), e-mail and other new interactive methods have gradually become a part of people's daily work, study and life. the most important means of communication. [0003] User attributes on the Internet include demographic attributes such as gender, age group, and occupation, as well as behavioral attributes such as hobbies and shopping preferences, as well as relationship attributes such as lovers, friends, classmates, colleagues, and family members. By acquiring user attributes, users can be accurately positioned, thereby bringing better services and experiences to users. In the ...

AI Technical Summary

Problems solved by technology

In the prior art, the attributes of users are mostly obtained by users filling in questionnaires or collecting user detailed information through user registration. However, user attribute information will contain some frequently changing characteristics, such as hobbies, occupations, shopping needs, lovers, etc. , users seldom actively update them, resulting in inaccurate and incomplete user attributes

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