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Man-machine conversation method and device

A technology of man-machine dialogue and entity, applied in the field of Internet communication, can solve the problem of low accuracy of recommended information, achieve the effect of improving dialogue experience and accuracy

Active Publication Date: 2019-07-19
TENCENT TECH SHANGHAI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of low accuracy of recommending information returned to the user in the application of the prior art in the man-machine dialogue, the present invention provides a man-machine dialogue method and device:

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  • Man-machine conversation method and device

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] It should be noted that the terms "comprising" and "having" in the description and claims of the present invention and the above drawings, as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, including a series of steps or units The process, method, system, product or server is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inhere...

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Abstract

The invention discloses a man-machine conversation method and device. The method comprises the steps of obtaining the to-be-processed corpora currently inputted by a user; extracting the to-be-processed corpora to obtain a target entity; according to a first preset recommendation dimension and a target entity, selecting the recommendation information from a knowledge base and outputting the recommendation information, wherein the knowledge base is used for storing a corresponding relation between an entity and an intention, the knowledge base comprises a plurality of entity libraries, a plurality of entities are stored in the entity libraries, and the dimension category of the first preset recommendation dimension comprises the basic information of the user, an internal classification relationship of the entity library to which the target entity belongs, an association relationship between the cross-entity-library entities and a current calling heat value of the knowledge base. The basic information of the user, the internal classification relationship of the entity library to which the target entity belongs, the association relationship between cross-entity library entities and the current calling heat value of the knowledge base are combined, so that the accuracy of returning the recommendation information to the user can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of Internet communication, in particular to a man-machine dialogue method and device. Background technique [0002] With the advent of the mobile Internet era and the rise of the wave of artificial intelligence, realizing man-machine dialogue has become a new pursuit of mankind. In the human-machine dialogue, the robot needs to be able to understand and use the natural language of human society, such as Chinese and English, and the robot responds according to the natural language input by the user. Human-machine dialogue not only improves the communication efficiency between human and robot, but also greatly facilitates human life and work. [0003] At present, in the human-computer dialogue, the recommendation information returned to the user is often manually configured by humans. For example, if the user asks "how to use a certain gun" in the game, after the robot returns the user's usage method of the ...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/332G06F17/27
CPCG06F16/3329G06F16/3344G06F40/295
Inventor 高波
Owner TENCENT TECH SHANGHAI
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