Information recommendation method, device, equipment and storage medium based on fm model

Abstract

The invention discloses an information recommendation method, device, device and storage medium based on an FM model, and relates to the field of financial science and technology. The second model parameters, wherein the model parameters include linear parameters and vector parameters; get the third model parameters according to the first model parameters and the second model parameters, and send the third model parameters to the first terminal and the second terminal, to For the first terminal to update the first factorization machine FM model corresponding to the first model parameter according to the third model parameter, and for the second terminal to update the second FM model corresponding to the second model parameter according to the third model parameter, and according to the updated FM model for information recommendation. The invention solves the problem of insufficient amount of user data (that is, sample data) in the process of training the FM model, thereby improving the recommendation accuracy of the trained FM model.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech) data processing, and in particular to an information recommendation method, device, equipment and storage medium based on an FM model. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field. The traditional financial industry is gradually transforming into financial technology (Fintech), and data processing technology is no exception. However, due to the security and real-time requirements of the financial industry, It also places higher demands on technology. [0003] Personalized recommendation is widely used in various fields of the Internet. Based on user data and characteristics, it learns user preferences and interests, and recommends corresponding products and information to users. Existing personalized recommendations often face problems such as insufficient data, difficult col...

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Problems solved by technology

[0005] The main purpose of the present invention is to provide an information recommendation method, device, equipment and storage medium based on the FM model, aiming to solve the problem of insufficient data volume of user data corresponding to the current training personalized recommendation model, and the recommendation of the obtained model is accurate. low rate technical issues

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