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Game customer-service dialoguing system based on deep neural network

A technology of deep neural network and dialogue system, applied in the field of Internet game development

Inactive Publication Date: 2018-04-27
JIANGSU MINGTONG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, Internet games and mobile games do not use automatic customer service systems

Method used

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  • Game customer-service dialoguing system based on deep neural network

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Embodiment Construction

[0019] The present invention will be further described below. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0020] Such as figure 1 As shown, the game customer service dialogue system based on the deep neural network of the present invention includes a dialogue control module, a user query module, a question model module, an answer model module and a knowledge base query module.

[0021] Wherein, the dialog control module receives the query language from the user, and judges to query the knowledge base or transfer to manual service by analyzing the query language of the user. Analyzing user query language includes reading user language through neural network and identifying semantics (such as classifying the question, obtaining related entities and attributes, etc.). If it is to query the knowledge base, enter the problem model module. In addi...

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PUM

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Abstract

The invention discloses a game customer-service dialoguing system based on a deep neural network. The game customer-service dialoguing system based on the deep neural network comprises a dialoguing control module, a user querying module, a problem model module, an answer model module and a knowledge base querying module, wherein the dialoguing control module receives query languages from users andjudges to conduct knowledge base querying or switch a manual service; the problem model module encodes problems queried by the users through a Seq2Seq mechanism of the deep neural network, obtains formalized languages capable of being used for querying the knowledge base, and inputs the formalized languages to the knowledge base querying module; the knowledge base querying module receives the input result from the problem model module, queries a knowledge base, and outputs the query result to the answer model module; the answer model module encodes the query result of the knowledge base through the Seq2Seq mechanism of the deep neural network, and outputs natural languages capable of being understood by the users to a user interactive interface. By means of the game customer-service dialoguing system based on the deep neural network, game users can rapidly obtain feedback in the game playing process.

Description

technical field [0001] The invention relates to a game customer service dialogue system based on a deep neural network, belonging to the technical field of Internet game development. Background technique [0002] There are a large number of customer service issues in Internet and mobile games, such as user inquiries and responses to issues such as game mechanics, rules, purchases, and online language violence. If the scale of the game is large, customer service costs will become one of the very important costs. At present, Internet games and mobile games do not use automatic customer service systems. Contents of the invention [0003] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide a game customer service dialogue system based on a deep neural network, which can allow game users to quickly get feedback during the game playing process. [0004] In order to solve the above technical problems, the present i...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N3/04
CPCG06F16/243G06F16/2425G06N3/04
Inventor 秦谦王宏志
Owner JIANGSU MINGTONG TECH
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