Interaction method and apparatus

Patent metadata

Field	Value
Publication number	US-11081108-B2
Application number	US-201916455958-A
Country	US
Kind code	B2
Filing date	Jun 28, 2019
Priority date	Jul 4, 2018
Publication date	Aug 3, 2021
Grant date	Aug 3, 2021

Abstract

Embodiments of the present disclosure disclose an interaction method and apparatus. A specific embodiment of the method includes: generating, in response to determining that a request input by a user satisfies a guiding condition, guiding information, and feeding back the guiding information to the user, the guiding condition including one of the following: associating with a plurality of query intents, or associating with no query intent; and generating, based on the request and a feedback input by the user corresponding to the guiding information, an intent-clear request, and feeding back push information bound with the intent-clear request to the user. Realizing that in the process of interacting with the user, for conditions such as the request input by the user is associated with a plurality of query intents or incompleteness, an intent-clear request associated with an explicit query intent is determined through the interaction with the user.

First claim

What is claimed is:

1. An interaction method, the method comprising:
generating, in response to determining that a request input by a user satisfies a guiding condition, guiding information, and feeding back the guiding information to the user, the guiding condition comprising one of: associating with a plurality of query intents, or associating with no query intent; and
generating, based on the request and a feedback input by the user corresponding to the guiding information, an intent-clear request, and feeding back push information bound with the intent-clear request to the user.

2. The method according to claim 1 , wherein the request comprises one of: an information query request, a multimedia content request, or a call request.

3. The method according to claim 2 , wherein the guiding condition comprises: the associating with the plurality of query intents, and the request comprises: an entity keyword, and the guiding information is used to guide the user to select at least one resource type from resource types of an entity represented by the entity keyword.

4. The method according to claim 2 , wherein the guiding condition comprises: the associating with no query intent, and the guiding information is used to guide the user to continue to input the feedback, to combine the feedback and the request to form the intent-clear request.

5. The method according to claim 4 , wherein the request comprises: a preset operation keyword, and the feedback comprises: an operation object keyword corresponding to the preset operation keyword.

6. The method according to claim 2 , wherein the guiding condition comprises: the associating with no query intent, and the guiding information is used to guide the user to determine whether to use a request semantically similar to the request input by the user as the intent-clear request.

7. The method according to claim 1 , wherein the request is obtained based on performing voice recognition on a voice query input by the user, and the feedback is obtained based on performing voice recognition on a feedback voice input by the user.

8. The method according to claim 2 , wherein the request is obtained based on performing voice recognition on a voice query input by the user, and the feedback is obtained based on performing voice recognition on a feedback voice input by the user.

9. An interaction apparatus, the apparatus comprising:
at least one processor; and
a memory storing instructions, the instructions when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising:
generating, in response to determining that request input by a user satisfies a guiding condition, guiding information, and feeding back the guiding information to the user, the guiding condition comprising one of: associating with a plurality of query intents, or associating with no query intent; and
generating, based on the request and a feedback input by the user corresponding to the guiding information, an intent-clear request, and feeding back push information bound with the intent-clear request to the user.

10. The apparatus according to claim 9 , wherein the request comprises one of: an information query request, a multimedia content request, or a call request.

11. The apparatus according to claim 10 , wherein the guiding condition comprises: the associating with the plurality of query intents, and the request comprises: an entity keyword, and the guiding information is used to guide the user to select at least one resource type from resource types of an entity represented by the entity keyword.

12. The apparatus according to claim 10 , wherein the guiding condition comprises: the associating with no query intent, and the guiding information is used to guide the user to continue to input the feedback, to combine the feedback and the request to form the intent-clear request.

13. The apparatus according to claim 12 , wherein the request comprises: a preset operation keyword, and the feedback comprises: an operation object keyword corresponding to the preset operation keyword.

14. The apparatus according to claim 10 , wherein the guiding condition comprises: the associating with no query intent, and the guiding information is used to guide the user to determine whether to use a request semantically similar to the request input by the user as the intent-clear request.

15. The apparatus according to claim 9 , wherein the request is obtained based on performing voice recognition on a voice query input by the user, and the feedback is obtained based on performing voice recognition on a feedback voice input by the user.

16. The apparatus according to claim 10 , wherein the request is obtained based on performing voice recognition on a voice query input by the user, and the feedback is obtained based on performing voice recognition on a feedback voice input by the user.

17. A non-transitory computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, causes the processor to perform operations, the operations comprising:
generating, in response to determining that a request input by a user satisfies a guiding condition, guiding information, and feeding back the guiding information to the user, the guiding condition comprising one of: associating with a plurality of query intents, or associating with no query intent; and
generating, based on the request and a feedback input by the user corresponding to the guiding information, an intent-clear request, and feeding back push information bound with the intent-clear request to the user.

18. The medium according to claim 17 , wherein the request comprises one of: an information query request, a multimedia content request, or a call request.

19. The medium according to claim 18 , wherein the guiding condition comprises: the associating with the plurality of query intents, and the request comprises: an entity keyword, and the guiding information is used to guide the user to select at least one resource type from resource types of an entity represented by the entity keyword.

20. The method according to claim 18 , wherein the guiding condition comprises: the associating with no query intent, and the guiding information is used to guide the user to continue to input the feedback, to combine the feedback and the request to form the intent-clear request.

Assignees

• Baidu online network technology beijing co ltd
• Shanghai Xiaodu Tech Co Ltd

Inventors

• Zhang Mengmeng
• Fan Zhongji
• Shi Lei
• Wan Li
• Ju Qiang
• Yin Chao
• Shen Wei
• Xie Jian
• Xu Ran
• Wang Jingya

Classifications

• G06F16/90332 Primary

  Natural language query formulation or dialogue systems · CPC title

• H04L67/55 Primary

  Push-based network services · CPC title

• G10L15/00

  Speech recognition (G10L17/00 takes precedence) · CPC title

• G10L2015/088

  Word spotting · CPC title

• G10L15/1815

  Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning · CPC title