Method for recommending virtual items, training method for model, device and storage medium

A technology of virtual items and recommendation methods, applied in the field of devices and storage media, model training methods, and recommendation methods, can solve problems such as unsatisfactory prediction results of a single algorithm model solution, achieve convenient generation and training, and save time.

Active Publication Date: 2020-11-20
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction results of the above single algorithm model scheme are not ideal

Method used

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  • Method for recommending virtual items, training method for model, device and storage medium
  • Method for recommending virtual items, training method for model, device and storage medium
  • Method for recommending virtual items, training method for model, device and storage medium

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Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0052]It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

[0053] Unless otherwise defined, all technical and scientific terms ...

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Abstract

This application discloses a virtual item recommendation method, a model training method, a device, and a storage medium, and recommends virtual items required by target users through an integrated learning model, wherein the integrated learning model includes multiple pre-registered preset models, because The preset model and its corresponding configuration information are pre-set. You only need to select the preset model in the preset model set, and configure the hyperparameters of the preset model according to the corresponding configuration information to easily generate an integrated learning model. . Since the integrated learning model trained by the training method provided by the present application includes multiple different types of preset models, it can fully highlight the advantages of each type of learning algorithm, and make up for the shortcomings of the preset model through other types of preset models. The disadvantage is that the ensemble learning model can accurately recommend the desired virtual items to the target users.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a virtual item recommendation method, a model training method, a device and a storage medium. Background technique [0002] In the process of game interaction, there are some scenarios where virtual items need to be recommended to users so that users can choose or purchase them. For example, after a user enters a virtual item purchase interface, virtual items are recommended to the user in the purchase interface. For another example, in some game scenarios, when the game is over, there is a certain chance that the user can purchase a specified discounted product, which can improve the user's game experience. However, due to the large variety of virtual items in the game scene, it is impossible to display all types of virtual items to users when recommending virtual items to users. The usual practice is to display virtual items for selection or purchase to users f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/20
CPCA63F13/85A63F2300/575G06N20/00
Inventor 林文清
Owner TENCENT TECH (SHENZHEN) CO LTD
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