Pushing method and system based on big data

Abstract

The invention discloses a pushing method based on big data, which comprises the following steps: S1, acquiring historical records of a target user, if the number of the historical records of the target user is smaller than a preset number, executing the step S2, and otherwise, executing the step S5; S2, acquiring identity information of a target user, and executing S3; S3, generating user type push information based on the target user identity information, and executing S4; S4, pushing user type push information to the target user; S5, generating user push information based on the historical record of the target user, and executing S6; and S6, pushing information to the target user. Compared with the prior art, the method has the advantages that under the condition that the historical records of the target users are insufficient, the target users are classified based on the identity information of the target users, so that the corresponding user type push information is generated and pushed. In this way, information pushing can be achieved under the condition that the historical records of the target user are few or no, and the pushing accuracy is guaranteed.

Description

technical field [0001] The invention relates to the technical field of information push, and specifically designs a push method and system based on big data. Background technique [0002] With the rapid development of Internet technology, people are increasingly using the Internet to obtain information. Many websites will intelligently push content that users are interested in based on their browsing behavior, such as shopping websites, news websites, and video browsing websites. [0003] However, the existing push methods usually need to first obtain the user's own historical browsing or purchase records, and then analyze the user's own historical browsing or purchase records to obtain the information that should be pushed to the user, although this method can achieve Personalized push for each user, but this requires more user history as a support to ensure the accuracy of the push. For users with lost history or new users with less history, this push method is more accur...

AI Technical Summary

Problems solved by technology

[0003] However, the existing push methods usually need to first obtain the user's own historical browsing or purchase records, and then analyze the user's own historical browsing or purchase records to obtain the information that should be pushed to the user, although this method can achieve Personalized push for each user, but this requires more user history as a support to ensure the accuracy of the push. For users with lost history or new users with less history, this push method is more accurate. poor, not applicable

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