Recommendation method and system for cold start based on login operation and computer equipment

Abstract

The invention relates to a cold start recommendation method and system based on login operation, computer equipment and a computer readable storage medium. The recommendation method comprises steps ofa data obtaining step, obtaining the known user information and the login operation information of a new user; a login information relationship tree establishment step for establishing a login information relationship tree by analyzing the data of the known user information; wherein the login information relationship tree comprises the known user information and a corresponding recommendation information type; and a new user login recommendation step for comparing and searching in the operation branches of the login information relationship tree based on the login operation information of thenew user to obtain an information type matched with the login operation information of the new user and taking the information type as a new user login recommendation information type. The corresponding recommendation information type is automatically matched based on the login operation information of the user, the user does not need to select an interest label, and the user experience is improved while the accurate and personalized information recommendation is achieved.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a recommendation method, system, computer equipment and computer-readable storage medium for performing a cold start based on a login operation. Background technique [0002] Since entering the Internet era, with the continuous expansion of e-commerce and the exponential growth of information, users are always faced with the problem of information overload. The recommendation system can provide users with personalized decisions based on their interests and behaviors. Support and information services, which require the accumulation of a large amount of user data, however, usually we know little about the interest behavior of new users, and it is difficult to accurately recommend information of interest to new users. If you can't make a good impression on new users, it will be difficult to retain new users, and user growth will stagnate. The Internet economy is ...

AI Technical Summary

Problems solved by technology

Due to its complexity and uncertainty, it is often impossible to achieve the accuracy and personalization of a single user, and it is easy to make users feel tired

[0006] In conclusion, currently no effective solution has been proposed for the accurate personality information recommendation for users in cold start

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