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公开(公告)号:US12020701B2
公开(公告)日:2024-06-25
申请号:US17490788
申请日:2021-09-30
Applicant: eBay Inc.
Inventor: Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
CPC classification number: G10L15/22 , G06F16/3329 , G06F40/35 , G10L15/07 , G10L15/1815 , G10L15/26 , G10L2015/228
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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公开(公告)号:US11170769B2
公开(公告)日:2021-11-09
申请号:US15926299
申请日:2018-03-20
Applicant: eBay Inc.
Inventor: Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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公开(公告)号:US20220020375A1
公开(公告)日:2022-01-20
申请号:US17490788
申请日:2021-09-30
Applicant: eBay Inc.
Inventor: Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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公开(公告)号:US20180268818A1
公开(公告)日:2018-09-20
申请号:US15926299
申请日:2018-03-20
Applicant: eBay Inc.
Inventor: Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
CPC classification number: G10L15/22 , G06F16/3329 , G06F17/279 , G10L15/07 , G10L15/1815 , G10L15/265 , G10L2015/228
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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