USER BEHAVIOR DATA ANALYSIS METHOD AND DEVICE

摘要

A user behavior data analysis method and device, used to accurately analyze user behavior and make advertising more targeted. The method comprises: obtaining behavior data generated in a data source after a user is registered with the data source (101), the data source containing behavior data respectively generated by all users registered with the data source, and the behavior data being data information recording the behavior of a user in the data source; extracting a user label from the behavior data of the user generated in the data source (102), the user label being information indicative of user behavior; obtaining preset directed population characteristics (103), the directed population characteristics being characteristics possessed by the population meeting the directed characteristics requirement; according to the behavior data of the user generated in the data source and the user label, extracting a target user group complying with the directed population characteristics from all users in the data source (104), the target user group comprising a plurality of users complying with the directed population characteristics.

主权项

1. A method for analyzing user behavior data, comprising:
obtaining behavior data generated by a user in a data source after the user registers with the data source, wherein the data source comprises behavior data generated by each user that registers with the data source and the behavior data is data information recording a behavior of a user in the data source; extracting a user tag from the behavior data generated by the user in the data source, wherein the user tag is information representing a behavior of the user; obtaining a preset oriented audience characteristic, wherein the oriented audience characteristic is a characteristic of an audience meeting an oriented characteristic requirement; and extracting a target user group meeting the oriented audience characteristic from all users in the data source, based on the behavior data generated by the user in the data source and the user tag, wherein the target user group comprises multiple users meeting the oriented audience characteristic, wherein extracting the target user group meeting the oriented audience characteristic from all users in the data source based on the behavior data generated by the user in the data source and the user tag comprises: extracting an oriented category from classified categories in the data source based on the oriented audience characteristic; performing statistics to determine the number of user behaviors, each of which with the user tag meeting the oriented category, in the data source; and extracting users, each of which with the number of the user behaviors exceeding an oriented category threshold, in the data source, to form the target user group, wherein the target user group comprises all users each of which with the number of the user behaviors exceeding the oriented category threshold.