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US Patent 11257496 Method and apparatus for facilitating persona-based agent interactions with online visitors

Patent 11257496 was granted and assigned to [24]7.ai on February, 2022 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
[24]7.ai
[24]7.ai
Current Assignee
[24]7.ai
[24]7.ai
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11257496
Date of Patent
February 22, 2022
Patent Application Number
16583530
Date Filed
September 26, 2019
Patent Citations
‌
US Patent 10236017 Goal segmentation in speech dialogs
‌
US Patent 10594757 Sender-receiver interface for artificial intelligence communication assistance for augmenting communications
Patent Citations Received
‌
US Patent 11907822 Controlling conversational digital assistant interactivity
7
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US Patent 11875129 Observation-based training of artificial intelligence character models
8
Patent Primary Examiner
‌
Michael Colucci
Patent abstract

A method and apparatus for facilitating persona-based agent interactions with online visitors is disclosed. A plurality of persona related attributes is extracted from a textual transcript of each interaction between an agent of an enterprise and an online visitor. A feature vector data representation is generated based on the plurality of persona related attributes extracted from each interaction to configure a plurality of feature vector data representations. The plurality of feature vector data representations is classified based on a plurality of persona-based clusters, which enables classification of the plurality of online visitors into the plurality of persona-based clusters. A learning model is trained for each persona-based cluster using utterances of online visitors classified into a respective persona-based cluster. The learning model is trained to mimic a visitor persona representative of the respective persona-based cluster. The trained learning model is configured to facilitate the persona-based agent interactions with the online visitors.

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