Game team recommendation method and device, server and storage medium

Abstract

The invention provides a game team recommendation method and device, a server and a storage medium, and the method comprises the steps: obtaining object portrait data of a target virtual object and team portrait data of a candidate game team, and according to the object portrait data and the team portrait data, recommending the candidate game team to the target virtual object; obtaining a first team forming probability that the target virtual object is added into the candidate game team and a second team forming probability that the candidate game team agrees to add the target virtual object through a preset matching model, and determining a bidirectional matching probability between the target virtual object and the candidate game team according to the first team forming probability and the second team forming probability, and recommending a game team to the target virtual object according to the bidirectional matching probability. Wherein the bidirectional matching probability of the virtual object and the game team not only considers the team forming preference of the virtual object for the game team, but also considers the team forming demand preference of the game team for the virtual object, and the game team is recommended to the target virtual object based on the bidirectional matching probability, so that the team forming time consumption can be reduced, and the team forming efficiency can be improved.

Description

technical field [0001] The present application relates to the field of game technology, and in particular, to a method, device, server, and computer-readable storage medium (referred to as storage medium) for recommending a game team. Background technique [0002] With the popularization of smart terminals, electronic games running on smart terminals have developed rapidly. In the process of playing electronic games, it is one of the common game methods to form a game team and participate in the game together in the form of a game team. In electronic games, the game system recommends unfinished game teams to the players, and the game players select the corresponding game teams to apply for a team. However, the existing game team recommendation methods often recommend game teams to game players according to the team formation time of uncompleted game teams or the game levels of team members, or randomly recommend game teams to game players. However, the above recommendation m...

AI Technical Summary

Problems solved by technology

However, existing game team recommendation methods often recommend game teams to game players according to the team formation time of unfinished team formation or the game levels of team members, or randomly recommend game teams to game players. However, the above-mentioned recommendation methods The match between the game player and the recommended game team is low. This is because the game player’s team formation time or game level is not limited to the player’s team formation time or game level, which leads to the game player’s team formation application being rejected by the game team. , the time-consuming of team formation increases, and the efficiency of team formation decreases

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