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US Patent 11983563 Contextual information extractor with model explainability calculator

Patent 11983563 was granted and assigned to Bank of America on May, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Bank of America
Bank of America
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Current Assignee
Bank of America
Bank of America
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119835630
Patent Inventor Names
Madhuri Aniruddha Deshpande0
Vinodh Sagayaraj Antoine0
Sandeep Kumar Chauhan0
Date of Patent
May 14, 2024
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Patent Application Number
164067320
Date Filed
May 8, 2019
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Patent Citations
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US Patent 10515317 Machine learning algorithm for user engagement based on confidential data statistical information
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US Patent 10178059 Systems and methods for providing snippets of content
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US Patent 8556165 Method and system for enabling teller presentation of pre-approved credit offers
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US Patent 9576292 Systems and methods to facilitate selling of products and services
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US Patent 9648167 Back office services of an intelligent automated agent for a contact center
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US Patent 9986094 Customer journey management
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US Patent 10140650 Client centric viewer
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Patent Primary Examiner
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Gautam Ubale
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CPC Code
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G06Q 30/0201
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G06N 5/022
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G06N 20/00
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G06F 9/5011
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Patent abstract

Embodiments of the invention are directed to accurate resource interaction opportunity decisioning. Contextual information is extracted, in real-time or otherwise, which takes into account the circumstances surrounding the presentation of resource interaction opportunities to the potential user. A decisioning model from amongst a plurality of models is determined based on implementation of an explainability calculator that assesses the accuracy, peril and complexity of the models in relation to the resource interaction opportunity decisions rendered by the models. A relationship builder is implemented that is configured to build a relationship network amongst potential users and resource interaction opportunity providers and subsequently use the indirect relationships provided by the network as a basis for determining which resource interaction opportunity providers should provide resource interaction opportunities to the potential users.

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