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公开(公告)号：US20240095457A1
公开(公告)日：2024-03-21
申请号：US18513406
申请日：2023-11-17
IPC分类号： G06F40/30 , G06F18/2137 , G06N3/04 , G06N20/20
CPC分类号： G06F40/30 , G06F18/21375 , G06N3/04 , G06N20/20
摘要： Described are methods and systems are for generating dynamic conversational queries. For example, as opposed to being a simply reactive system, the methods and systems herein provide means for actively determining a user's intent and generating a dynamic query based on the determined user intent. Moreover, these methods and systems generate these queries in a conversational environment.
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2.发明申请公开(公告)号：US20210399999A1
公开(公告)日：2021-12-23
申请号：US16908116
申请日：2020-06-22
发明人： Kunlaya SOIAPORN , Victor ALVAREZ MIRANDA , Pamela KATALI , Arturo HERNANDEZ ZELEDON , Rui ZHANG , Kwan-Yuet HO
摘要： Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
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3.发明公开公开(公告)号：US20230412532A1
公开(公告)日：2023-12-21
申请号：US18459828
申请日：2023-09-01
发明人： Kunlaya SOIAPORN , Victor ALVAREZ MIRANDA , Pamela KATALI , Arturo HERNANDEZ ZELEDON , Rui ZHANG , Kwan-Yuet HO
CPC分类号： H04L51/02 , G10L15/16 , G06N20/20 , G06F18/23 , G06V10/763
摘要： Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
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4.发明申请公开(公告)号：US20220091713A1
公开(公告)日：2022-03-24
申请号：US17029861
申请日：2020-09-23
发明人： Minh LE , Arturo HERNANDEZ ZELEDON , Rui ZHANG
IPC分类号： G06F3/0484 , G06N3/04 , G06N3/08 , G06F3/0481 , G06K9/46 , G06F40/205 , G06F40/279
摘要： Methods and systems are described for generating dynamic interface options using machine learning models. The dynamic interface options may be generated in real time and reflect the likely goals and/or intents of a user. The machine learning model may provide these features by interpreting multi-modal feature inputs. For example, the machine learning model may include a first machine learning model, wherein the first machine learning model comprises a convolutional neural network, and a second machine learning model, wherein the second machine learning model performs a Weight of Evidence (WOE) analysis.
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5.发明公开公开(公告)号：US20230188483A1
公开(公告)日：2023-06-15
申请号：US18165917
申请日：2023-02-07
发明人： Kunlaya SOIAPORN , Victor ALVAREZ MIRANDA , Pamela KATALI , Arturo HERNANDEZ ZELEDON , Rui ZHANG , Kwan-Yuet HO
CPC分类号： H04L51/02 , G06F18/23 , G06N20/20 , G10L15/16 , G06V10/763
摘要： Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
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6.发明申请公开(公告)号：US20220263778A1
公开(公告)日：2022-08-18
申请号：US17738224
申请日：2022-05-06
发明人： Kunlaya SOIAPORN , Victor ALVAREZ MIRANDA , Pamela KATALI , Arturo HERNANDEZ ZELEDON , Rui ZHANG , Kwan-Yuet HO
摘要： Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.
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