Integrated package recommendation method and device, server and storage medium

Abstract

The embodiment of the invention provides an integrated package recommendation method and device, a server and a storage medium, relates to the technical field of communication, and can accurately and effectively determine a target user and improve the recommendation efficiency of an integrated package. The method comprises the following steps: determining at least one resident cell corresponding to a to-be-identified user in a statistical period; determining traffic proportions corresponding to the at least one resident cell in a plurality of time intervals, and average total traffic corresponding to the to-be-identified user in the plurality of time intervals; and determining the to-be-identified user as a target user under the condition that the number of the time intervals in which the corresponding traffic proportion is greater than a first proportion threshold is greater than a number threshold and the average total traffic is greater than a traffic threshold.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technology, and in particular, to a method, device, server and storage medium for recommending a fusion package. Background technique [0002] At present, it is possible to determine whether to recommend an integrated package for the user based on the user's B-side static information (such as the product information registered and signed by the user). A package that includes mobile phone and broadband-related tariffs. [0003] However, the above-mentioned method of determining whether to recommend an integrated package for a certain user may be inaccurate. For example, although user A has not signed any broadband products, he can use broadband products signed by other users, so user A may not need relevant The fusion package affects the accuracy of determining the users to be recommended for the fusion package and reduces the efficiency of package recommendation. Contents ...

AI Technical Summary

Problems solved by technology

[0003] However, the above-mentioned method of determining whether to recommend an integrated package for a certain user may be inaccurate. For example, although user A has not signed any broadband products, he can use broadband products signed by other users, so user A may not need relevant Fusion packages, which affect the accuracy of the determination of users to be recommended for fusion packages, and reduce the efficiency of package recommendation

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