User recall method and device and equipment

Abstract

The invention provides a user recall method and device and equipment, and the method comprises the steps: obtaining game data of a plurality of users, taking a user meeting a recall target in the plurality of users as a reference user, and taking a user meeting a reference target and not meeting the recall target in the plurality of users as a to-be-analyzed user; inputting the game data into a recall analysis model to enable the recall analysis model to calculate the to-be-analyzed user based on the reference user to obtain the similarity of the to-be-analyzed user and the reference user in game performance; and determining the to-be-analyzed users with the similarity meeting a preset condition as target recalled users, and pushing game resources corresponding to recalled targets to the target recall users. According to the method, through automatic screening of the target recalled users, the method does not need to depend on human experience analysis, avoids omission of users with relatively large recall potential, improves recall efficiency, controls the scale of the target recalled users, and reduces recall cost. The recall effect is improved by pushing game resources more suitable for the target recall user.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a user recall method, device and equipment. Background technique [0002] With the development of cloud technology and mobile terminal technology, game release iterations are accelerating, and users are easily distracted by new games, making the proportion of lost users in the overall registered users higher and higher. Therefore, how to recall lost users has become an important means to ensure the stable operation of the game. [0003] At present, data analysis is usually used to obtain all lost users, and then send recall information to all lost users according to contact information such as mobile phone number and email address, so that lost users can log in to the game again through rewards or new function introductions in the recall information . However, this method not only has high recall costs, such as the need to bear huge SMS fees, reward fees, etc., but also la...

AI Technical Summary

Problems solved by technology

However, this method has high requirements on the ability and experience of technicians, and it is easy to miss some users who can be recalled, and the recall effect is difficult to guarantee.

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