Game behavior recognition method, device, equipment and medium

A recognition method and game technology, applied in the computer field, can solve the problems of high confrontation intensity, difficult to recognize abnormal game behavior, affecting the user experience of normal game participants, etc., and achieve the effect of high recognition efficiency.

A recognition method and game technology, applied in the computer field, can solve the problems of high confrontation intensity, difficult to recognize abnormal game behavior, affecting the user experience of normal game participants, etc., and achieve the effect of high recognition efficiency.

CN110665233BActive Publication Date: 2021-07-16TENCENT TECH (SHENZHEN) CO LTD
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  • Game behavior recognition method, device, equipment and medium
  • Game behavior recognition method, device, equipment and medium
  • Game behavior recognition method, device, equipment and medium

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Embodiment Construction

[0027] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializes in the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their performance. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all fields of artificial intelligence. Machine learning and deep learning usually include techniques such as artificial neural network, belief network, reinforcement learning, transfer learning, inductive learning, and teaching learning.

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application wi...

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Abstract

The present application provides a game behavior recognition method, device, device, and medium, the method comprising: after receiving a game match request for a game match, obtaining game match records of all participants in the game match data, the game game data includes the basic data of all the participants and the operation sequences corresponding to the multi-round game operations of all the participants; based on the game game data, use the behavior recognition model to identify the game Whether the game behavior corresponding to the game request is an abnormal game behavior. The features extracted by this application contain more details than the existing technology, can replace the existing design of artificial statistical features, have high recognition efficiency for abnormal game behaviors, and solve the problem of illegal trading of small accounts, illegal trading of game coins, etc. in the game business. A variety of malicious behavior issues such as double reed actor cheating.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a game behavior recognition method, device, equipment and media. Background technique [0002] With the development of the network, online games based on the Internet as the transmission medium are becoming more and more popular. However, in the process of playing online games, there will be some abnormal game behaviors, such as illegal game currency transactions, gang collusion and cheating or personal cheating, and wool trumpeting, etc. These abnormal game behaviors will greatly affect the user experience of normal game participants . [0003] In the existing technology, for the detection of abnormal game behaviors such as illegal game currency transactions, gang collusion and cheating, or individual cheating, manual monitoring and manual confrontation are usually used, which not only has high confrontation intensity, but also makes it difficult to identify abn...

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Application Information

Patent Timeline
16 Jul 2021
Publication
CN110665233B
IPC
A63F13/75
CPC
A63F13/75
Inventors
冯淦; 陈旺林