Bank of America Corporation

David H Witting

Viju Kothuvatiparambil

Ramakrishna R Yannam

Mahalakshmi Chandra Sekaran

Matthew Hsieh

Ravisha Andar

Sushil Golani

Maruthi Z Shanmugam

Donatus Asumu

Stephen Yeager

Bharathiraja Krishnamoorthy

Karen Trevino

Marco Ramirez

Luis Gerardo Mojica De La Vega

Devanshu Mukherjee

Jamaal C Long

Systems, computer program products, and methods are described herein for generating customized data input options using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an input query; retrieve, from a database associated with an entity, information associated with the user; determine a resource distribution profile of the user, wherein the resource distribution profile comprises one or more resource transfers executed by the user; generate one or more customized autocomplete options for the input query based on at least the information associated with the user and the resource distribution profile of the user; and transmit control signals configured to cause the computing device of the user to display the one or more customized autocomplete options to the user.

System for generating customized data input options using machine learning techniques

Aspects of the disclosure relate to supervised machine-learning ('ML') training platforms for artificial intelligence ('AI') computer systems. The ML training platform may include isolated update testing. The isolated update testing may feature a plurality of environments with various levels of isolation. The ML training platform may also include bi-directional channels for controlled update propagation.

Supervised machine-learning training platform with isolated update testing and bi-directional update propogation

Methods for analyzing a query is provided. Methods may include receiving a query from a user. Methods may include dissecting the query into a plurality of word segments. Methods may include determining, based on a predetermined ontology, which of the plurality of words satisfies a predetermined ontological threshold and which words do not satisfy the predetermined ontological threshold. Methods may include discarding the words that do not satisfy the predetermined ontological threshold. Methods may include determining a part of speech associated with each word based on the content of the query. Methods may include determining a concept associated with each word based on the content of the query. Methods may include displaying to the user word that satisfies the predetermined threshold alongside the associated part of speech and associated concept. Methods may include enabling the user to change each word, each concept and each part of speech.

Query analyzer

An apparatus for automatic completion of an entry into an input field is provided. The apparatus may include a webpage. The webpage may include a search box. The search box may include a user input field. The apparatus may further include a processor and a machine-readable memory. When a user begins to type a query into the user input box, the processor may be configured to complete, pending user confirmation, the user's query. The completion may be based, for example, on information stored on the machine-readable memory pertaining to the user. The information may be available to an authorized accessor of the machine-readable memory via a secure communications channel. However, the information may be restricted from the user's access via a communications channel associated with the user.

Method and apparatus for automatic completion of an entry into an input field

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Puyallup, WA, United States of America

David H Witting