Patents by Inventor Kunlaya Soiaporn
Kunlaya Soiaporn has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11985098Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.Type: GrantFiled: February 10, 2023Date of Patent: May 14, 2024Assignee: Capital One Services, LLCInventors: Victor Alvarez Miranda, Rui Zhang, Vinay Igure, Scott Karp, Erik Mueller, Tanushree Luke, Kunlaya Soiaporn
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Patent number: 11863502Abstract: 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.Type: GrantFiled: February 7, 2023Date of Patent: January 2, 2024Assignee: Capital One Services, LLCInventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
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Publication number: 20230412532Abstract: 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.Type: ApplicationFiled: September 1, 2023Publication date: December 21, 2023Applicant: Capital One Services, LLCInventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
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Publication number: 20230188483Abstract: 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.Type: ApplicationFiled: February 7, 2023Publication date: June 15, 2023Applicant: Capital One Services, LLCInventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
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Publication number: 20230188484Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.Type: ApplicationFiled: February 10, 2023Publication date: June 15, 2023Applicant: Capital One Services, LLCInventors: Victor Alvarez MIRANDA, Rui ZHANG, Vinay IGURE, Scott KARP, Erik MUELLER, Tanushree LUKE, Kunlaya SOIAPORN
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Patent number: 11616741Abstract: 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.Type: GrantFiled: May 6, 2022Date of Patent: March 28, 2023Assignee: Capital One Services, LLCInventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
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Patent number: 11582172Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.Type: GrantFiled: December 6, 2021Date of Patent: February 14, 2023Assignee: Capital One Services, LLCInventors: Victor Alvarez Miranda, Rui Zhang, Vinay Igure, Scott Karp, Erik Mueller, Tanushree Luke, Kunlaya Soiaporn
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Publication number: 20220263778Abstract: 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.Type: ApplicationFiled: May 6, 2022Publication date: August 18, 2022Applicant: Capital One Services, LLCInventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
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Patent number: 11356389Abstract: 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.Type: GrantFiled: June 22, 2020Date of Patent: June 7, 2022Assignee: Capital One Services, LLCInventors: Kunlaya Soiaporn, Victor Alvarez Miranda, Pamela Katali, Arturo Hernandez Zeledon, Rui Zhang, Kwan-Yuet Ho
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Publication number: 20220166732Abstract: In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.Type: ApplicationFiled: December 6, 2021Publication date: May 26, 2022Applicant: Capital One Services, LLCInventors: Victor Alvarez MIRANDA, Rui ZHANG, Vinay IGURE, Scott KARP, Erik MUELLER, Tanushree LUKE, Kunlaya SOIAPORN
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Patent number: 11223582Abstract: In certain embodiments, pre-chat intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. Within ten seconds of the chat initiation request, the candidate questions may be simultaneously presented on the chat interface. Based on negative feedback obtained via the chat interface with respect to the candidate questions, additional candidate questions matching the second set of predicted intents may be presented on the chat interface. In some embodiments, the negative feedback may be provided to the prediction model to update configurations of the prediction model.Type: GrantFiled: March 17, 2020Date of Patent: January 11, 2022Assignee: Capital One Services, LLCInventors: Victor Alvarez Miranda, Rui Zhang, Vinay Igure, Scott Karp, Erik Mueller, Tanushree Luke, Kunlaya Soiaporn
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Publication number: 20210399999Abstract: 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.Type: ApplicationFiled: June 22, 2020Publication date: December 23, 2021Applicant: Capital One Services, LLCInventors: Kunlaya SOIAPORN, Victor ALVAREZ MIRANDA, Pamela KATALI, Arturo HERNANDEZ ZELEDON, Rui ZHANG, Kwan-Yuet HO
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Publication number: 20210168096Abstract: In certain embodiments, pre-chat intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. Within ten seconds of the chat initiation request, the candidate questions may be simultaneously presented on the chat interface. Based on negative feedback obtained via the chat interface with respect to the candidate questions, additional candidate questions matching the second set of predicted intents may be presented on the chat interface. In some embodiments, the negative feedback may be provided to the prediction model to update configurations of the prediction model.Type: ApplicationFiled: March 17, 2020Publication date: June 3, 2021Applicant: Capital One Services, LLCInventors: Victor Alvarez MIRANDA, Rui Zhang, Vinay Igure, Scott Karp, Erik Mueller, Tanushree Luke, Kunlaya Soiaporn
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Patent number: 10798030Abstract: In certain embodiments, pre-chat intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain predicted intents of the user. For each intent of the current intents, a candidate question may be selected from a question set based on the candidate question matching the intent. Within ten seconds of the chat initiation request, the candidate questions may be simultaneously presented on the chat interface. A user selection of a first question of the candidate questions may be obtained via the chat interface responsive to the presentation of the candidate questions. Based on the user selection and the first question matching a first intent of the predicted intents, the first intent may be provided as reference feedback for the prediction model.Type: GrantFiled: March 17, 2020Date of Patent: October 6, 2020Assignee: Capital One Services, LLCInventors: Vinay Igure, Scott Karp, Erik Mueller, Tanushree Luke, Kunlaya Soiaporn, Victor Alvarez Miranda, Rui Zhang