Method and device for analyzing user behavior data

Abstract

The embodiment of the invention discloses a method and a device for analyzing user behavior data. The method and the device are used for accurately analyzing user behavior and improving the pertinence of advertisement push objects. The method in the embodiment of the invention comprises the following steps: acquiring behavior data generated in a data source after users are registered to the data source, wherein the data source comprises respective behavior data generated by all users which are registered into the data source, and the behavior data are data information for recording the behavior of the users in the data source; extracting user tags from the behavior data generated on the data source by the users, wherein the user tags are information for characterizing the behaviors of the users; acquiring preset directional features of the population, wherein the directional features of the population are features endowed by the population meeting the requirements on directional features; extracting target user population according with the directional features of the population from all users in the data source according to the behavior data generated on the data source by the users and the user tags, wherein the target user population comprises multiple users according with the directional features of the population.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for analyzing user behavior data. Background technique [0002] After the user registers on the data source, the user will perform various actions on the data source, such as posting comments on the official website of A, photographing and paying for the baby on the official website of B, and the data source will save the user's behavioral data, in order to accurately describe The relevant behaviors performed by users in the data source need to analyze user behavior. Usually, it is necessary to perform data preprocessing on user registration data and behavior data, such as filtering, converting and integrating registration data and behavior data. etc. to extract the user tag (tag) from the preprocessed user data. [0003] After the user tags are extracted, they can be matched according to the user tags and the preset interest categories, and the ana...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing technology, the extraction of user tags is based on the user's registration data and behavior data, and the similarity calculation is completed only based on the extracted user tags and the set standard interests, but only relying on user Tags do not fully reflect user behavior, which will lead to inability to accurately analyze user behavior when calculating the similarity between user tags and standard interests in subsequent calculations, and different types of advertisers want advertisements to be pushed to The user groups are also different, but there is no difference in the user tags matched by all interest types in the existing technology. Advertisers push advertisements according to the user behaviors analyzed in this way, and the targeted objects of advertisement pushes are not highly targeted.

Images