User portrait based personalized precision marketing method, server and storage medium

A technology of precision marketing and storage media, applied in marketing, instruments, data processing applications, etc., can solve the problems of cold start of new users, difficulty for Internet users to find the information they need or are interested in, and low accuracy.
CN108960975AInactive Publication Date: 2018-12-07广州麦优网络科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
广州麦优网络科技有限公司
Publication Date
2018-12-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a user portrait based personalized precision marketing method, a server and a storage medium. The method comprises the steps of obtaining label information of a user, building auser portrait according to the label information, obtaining the current Internet surfing behavior of the user, performing prediction and analysis on the behavior, screening out contents which the user may like or be interested in based on the user portrait when the user is predicted and analyzed to have a purchase or consumption intention, and carrying out personalized recommendation according tothe contents which the user may like or be interested in. Each user has a unique user portrait, and a list of contents which the user may like or interested in can be screened out through performingdeep analysis by combining the user portrait and the current Internet surfing behavior, thereby being capable of well performing personalized recommendation according to the condition of each user, improving the recommendation accuracy, and also being capable of well solving a problem of cold start of new users at the same time.
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Description

technical field

[0001] The present invention relates to the field of computer processing technology, in particular to a personalized and precise marketing method based on user portraits, a server and a storage medium. Background technique

[0002] With the development of the Internet, people's lives are more and more closely linked with the Internet. In this fast-paced era, users hope to quickly find the products they need through the Internet, but massive product data is continuously generated on the Internet every day, which makes it difficult for Internet users to quickly find the information they need or are interested in . In order to allow users to quickly find the products they are interested in, the traditional collaborative filtering technology recommends based on the user's historical purchases. However, for new users, they often face cold start problems, and it is difficult to get accurate recommendations. The user's interest may be one-time. If the recommenda...

Claims

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