Human-computer interaction method and apparatus, storage medium and electronic device

Patent metadata

Field	Value
Publication number	US-12547903-B2
Application number	US-202117439758-A
Country	US
Kind code	B2
Filing date	Apr 9, 2021
Priority date	May 29, 2020
Publication date	Feb 10, 2026
Grant date	Feb 10, 2026

Abstract

The present disclosure provides a human-computer interaction method and apparatus, computer-readable storage medium and electronic device, and relates to the technical field of computer question answering. The human-computer interaction method includes receiving an input question; extracting entities and relationships involved in the input question; querying an answer to the input question in a knowledge graph according to the entities and the relationships; and displaying a sub-graph of the knowledge graph. The sub-graph of the knowledge graph includes entities involved in the input question and the answer, and a directional identifier, wherein the directional identifier is configured to identify a reasoning path corresponding to the query process.

First claim

What is claimed is:

1 . A human-computer interaction method, comprising:
receiving, by a terminal device, an input question; extracting, by a terminal device, entities and relationships involved in the input question; querying, by a server, an answer to the input question in a knowledge graph according to the entities and the relationships; displaying, by a terminal device, a sub-graph of the knowledge graph, wherein the sub-graph of the knowledge graph comprises entities involved in the input question and the answer, and a directional identifier, wherein the directional identifier is configured to identify a reasoning path corresponding to the query process; and in an instance in which the sub-graph of the knowledge graph is displayed by the terminal device: detecting a degree of association between a current input question and a previous dialog entity, and determining whether to delete a previous sub-graph of the knowledge graph based on the degree of association; in response to determining that the current input question and a previous dialog entity are not relevant, deleting the previous sub-graph of the knowledge graph, obtaining and displaying a new sub-graph of the knowledge graph corresponding to the current input question; and in response to determining that the current input question and a previous dialog entity are relevant, continuing to add entities and relationships to the previous sub-graph of the knowledge graph, wherein, in the instance in which the sub-graph of the knowledge graph is displayed by the terminal device, the method further comprises: acquiring at least one of user attribute data, user behavior data, and operation data, wherein the user attribute data comprises at least one of age, gender, and purchasing power of a user, and the user behavior data comprises historical search data; acquiring a recommended object according to at least one of the user attribute data, the user behavior data, and the operation data; and displaying differentially the recommended object relative to the entity in the sub-graph of the knowledge graph, wherein displaying differentially the recommended object relative to the entity in the sub-graph of the knowledge graph comprises: popping up a message prompt window in response to an operation of a user of clicking the entity, and displaying the recommended object in the message prompt window.

2 . The human-computer interaction method according to claim 1 , wherein the directional identifier is configured to connect entities that are successively analyzed in the query process.

3 . The human-computer interaction method according to claim 2 , wherein:
the input question is a multi-order reasoning question; in response to the input question being the multi-order reasoning question, the directional identifier comprises a multi-level directional identifier to distinguish the successively corresponding reasoning path of each order in the query process; and any two of the multi-level directional identifiers have at least one of different colors, sizes, and shapes.

4 . The human-computer interaction method according to claim 1 , wherein the directional identifier is a directional arrow.

5 . The human-computer interaction method according to claim 1 , wherein the directional identifier is represented by a plurality of entities with different attributes that are successively analyzed in the query process, and the attribute comprises at least one of color, size, and shape.

6 . The human-computer interaction method according to claim 1 , wherein, in an instance in which the input question is greater than or equal to a second round of question and answer interaction, displaying the sub-graph of the knowledge graph comprises:
judging whether the input question and the answer involve a new entity compared with the input question and answer of a previous round of interaction; updating the new entity and the corresponding directional identifier to the sub-graph of the knowledge graph obtained in the previous round of interaction, and displaying an updated sub-graph of the knowledge graph, if it involves a new entity; and serving the sub-graph of the knowledge graph obtained in the previous round of interaction as the sub-graph of the knowledge graph, and updating the directional identifier, if it does not involve a new entity.

7 . The human-computer interaction method according to claim 6 , further comprising: displaying differentially the reasoning paths corresponding to different input questions based on the directional identifier.

8 . The human-computer interaction method according to claim 1 , wherein displaying differentially the recommended object relative to the entity in the sub-graph of the knowledge graph comprises:
displaying differentially a target entity by color filling or a symbol mark in the sub-graph of the knowledge graph, wherein the target entity is an entity connected to the recommended object through a relationship; and receiving a control operation acting on the target entity, and displaying the recommended object based on the control operation.

9 . The human-computer interaction method according to claim 1 , wherein displaying differentially the recommended object relative to the entity in the sub-graph of the knowledge graph comprises:
displaying the recommended object and a relationship connected to the recommended object with a dashed line, wherein the recommended object is displayed in the sub-graph of the knowledge graph in a form of an entity.

10 . The human-computer interaction method according to claim 1 , wherein displaying a sub-graph of the knowledge graph comprises:
selecting among the entities involved in the input question and the answer according to a preset screening rule; and displaying the sub-graph of the knowledge graph, wherein the sub-graph of the knowledge graph comprises the selected entity and the directional identifier.

11 . The human-computer interaction method according to claim 10 , wherein selecting among the entities involved in the input question and the answer according to a preset screening rule comprises:
in response to a control operation of a user, selecting a display state of the entity and its related entities according to the control operation, wherein selecting a display state of the entity and its related entities according to the control operation comprises: in response to a selection operation acting on an entity, hiding a branch centered on the entity and displaying a hidden icon, wherein the branch comprises all entities, relationships, and directional identifiers connected to the entity; or, in response to a selection operation acting on a relationship, hiding all the entities connected to the relationship and displaying the hidden icon.

12 . A non-transitory computer-readable storage medium with program instructions stored thereon that, when executed by at least one hardware processor, directs the at least one hardware processor to perform a method for human-computer interaction, comprising:
receiving, by a terminal device, an input question; extracting, by a terminal device, entities and relationships involved in the input question; querying, by a server, an answer to the input question in a knowledge graph according to the entities and the relationships; displaying, by a terminal device, a sub-graph of the knowledge graph, wherein the sub-graph of the knowledge graph comprises entities involved in the input question and the answer, and a directional identifier, wherein the directional identifier is configured to identify a reasoning path corresponding to the query process; and in an instance in which the

Assignees

• Boe Technology Group Co Ltd

Inventors

• Ma Mingyuan
• Liang Tianxin
• Dong Wenchu
• Wen Ken

Classifications

• G06F16/21

  Design, administration or maintenance of databases · CPC title

• G06N5/04

  Inference or reasoning models · CPC title

• G06F40/295 Primary

  Named entity recognition · CPC title

• G06N5/022 Primary

  Knowledge engineering; Knowledge acquisition · CPC title

• G06F40/30

  Semantic analysis · CPC title