US 11,934,436 B2
Computer-implemented systems and methods for intelligently retrieving, analyzing, and synthesizing data from databases
Henry Pearce, London (GB); and James Tickner, London (GB)
Assigned to Nasdaq, Inc., New York, NY (US)
Filed by Nasdaq, Inc., New York, NY (US)
Filed on Mar. 28, 2023, as Appl. No. 18/127,096.
Application 18/127,096 is a continuation of application No. 17/354,043, filed on Jun. 22, 2021, granted, now 11,636,141.
Application 17/354,043 is a continuation of application No. 15/234,311, filed on Aug. 11, 2016, granted, now 11,048,739, issued on Jun. 29, 2021.
Claims priority of provisional application 62/205,115, filed on Aug. 14, 2015.
Prior Publication US 2023/0229684 A1, Jul. 20, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/335 (2019.01); G06F 16/33 (2019.01); G06F 16/35 (2019.01); G06Q 40/06 (2012.01)
CPC G06F 16/337 (2019.01) [G06F 16/334 (2019.01); G06F 16/355 (2019.01); G06Q 40/06 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer system comprising:
one or more memories that include one or more person-to-person communication analytics databases;
one or more hardware data processors coupled to the one or more memories, the one or more hardware data processors being configured to:
store in the one or more memories (i) electronic contact profile data records and (ii) electronic group profile data records for multiple groups, each electronic group profile data record including computer-readable metric values corresponding to person-to-person communications between the group and human contacts;
automatically process the electronic group profile data records with the electronic contact profile data records to calculate corresponding group-human contact compatibility factors;
automatically determine similarities between metric values corresponding to at least some of the electronic contact profile data records;
automatically calculate a weighted average based on the similarities between metric values corresponding to electronic contact profile data records to generate an overall similarity parameter for electronic contact profile data records, where the weighted average includes a time gap weighting factor based on how far apart in time human contacts corresponding to the electronic contact profile data records communicated with a same group or with different groups having a same metric value;
automatically generate a compatibility parameter for one or more human contacts for at least one of the groups based on the corresponding group-human contact compatibility factors and the overall similarity parameters; and
electronically communicate to one or more computer devices compatibility parameters generated for the at least one of the groups.