SYSTEMS FOR AUTOMATIC DETECTION, RATING AND RECOMMENDATION OF ENTITY RECORDS AND METHODS OF USE THEREOF

WIPO Patent Application WO/2022/226270

A3

Systems and methods of the present disclosure include computer systems for improving data discovery and recommendation. To do so, activity records associated with multiple entities are received, including activity data for electronic activities with the entities. An entity classification model engine including an entity classification model is utilized to predict at least one entity -type classification classifying at least one first entity of the entities as a first entity type. A first plurality of entity-related activity characteristics representing an activity pattern is associated with the at least one first entity and is extracted from the activity data. An entity rating model engine comprising an entity rating model is utilized to predict at least one entity rating prediction for the at least one entity based at least in part on the activity pattern, and an entity rating interface is generated comprising the at least one entity rating prediction interface element.

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KWOK JENNIFER (US)
VARGAS CRUZ (US)
CHAUDHARY VIRAJ (US)

PCT/US2022/025889

December 08, 2022

April 22, 2022

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CAPITAL ONE SERVICES LLC (US)

G06N20/00; G06Q30/06; G06Q30/00

US20040260600A1	2004-12-23
US20040225577A1	2004-11-11
US20040068451A1	2004-04-08
US20120030159A1	2012-02-02
US20120023045A1	2012-01-26

REICHLEN, Kristopher, D. (US)

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