Network service user group dividing method and device

Abstract

The invention discloses a network service user group dividing method, which comprises the steps of: acquiring attributes and / or behavioral data of a plurality of users within the current statistical period, and converting the attributes and / or behavioral data into standardized data; determining central points of a plurality of groups according to the standardized data, and dividing the standardized data to the group with the nearest group central point; determining group characteristics of each group; and pushing corresponding service push information to users of the groups according to the group characteristics of the groups. The invention further discloses a network service user group dividing device. According to the network service user group dividing method and the network service user group dividing device, the user groups are finely divided according to the user attributes and / or behavioral data, the divided groups have respective group characteristics, the division is more accurate, and the service information is pushed more reasonably.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and a device for grouping network service users. Background technique [0002] With the development of Internet technology, network services such as network application software, online games, network information, and network video are widely used. The number of users of various network services is large, and the growth rate is very fast. The frequency of new and old users is also high. In order to further promote network services, operators often send service promotion information to users, so as to increase user usage of network services and their additional services. However, the existing information push methods often use random push, all push, etc., or divide user groups according to the operator's experience, and push different information for different user groups. However, due to the large number of users and the large randomness, and the focus of each user...

AI Technical Summary

Problems solved by technology

However, due to the large number of users and the large randomness, and the focus of each user's attention may change in each time period, the traditional division method cannot adaptively divide user groups, which may cause unreasonable and targeted information promotion. Poor, on the one hand, it cannot achieve the purpose of information push, on the other hand, it will cause troubles to users

Images