US 12,639,389 B2Granted

Insight engine

AssigneeSteady Platform, Inc.

InventorsMarcel Crudele, John Michael Robertson, Kien Lam, Jeff Chelko, Nikhil Gorantla, Thaddeus Gholston, Andrew Toloff, Winn Martin

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Abstract

Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.

Claims20

Dependent claims

A computing system comprising:

a processor configured to:
retrieve baseline data of a user from a data store, the baseline data including an initial data value of an attribute of the user related to employment data for the user and the user being one of a community of users;
detect a first trigger, the first trigger being based on at least one of a change in the initial data value of the baseline data to a changed data value, a change in at least one metric derived from the baseline data, and a time based trigger based on an amount of time between a specified time and a timing identifier associated with the baseline data, the timing identifier being based on one or more timestamps associated with the baseline data;
generate, in response to the detection of the first trigger, a new insight for the user based on execution of a machine learning model, the new insight being based on a combination of data associated with the first trigger, the initial data value of the attribute of the user related to the employment data for the user, and a data value of at least one attribute of other users within the community of users other than the user related to the employment data for the user;
transmit, via a network interface of the computing system, a notification indicative of the new insight to a computing system associated with the user;
detect a second trigger based on an occurrence of an event, a time, and a combination thereof;
derive, in response to the detection of the second trigger, metrics based on at least one of the baseline data, metrics derived from the baseline data, and combinations thereof;
execute the machine learning model on the derived metrics to generate a second new insight for the user, the second new insight including metrics derived based on baseline data related to employment data for other users within the community of users other than the user;
and
transmit, via the network interface, the second new insight to the computing system associated with the user.

7 more elements

A method comprising:

retrieving baseline data of a user from a data store, the baseline data including an initial data value of an attribute of the user related to employment data for the user and the user being one of a community of users;
detecting a first trigger, the first trigger being based on at least one of a change in the initial data value of the baseline data to a changed data value, a change in at least one metric derived from the baseline data, and a time based trigger based on an amount of time between a specified time and a timing identifier associated with the baseline data, the timing identifier being based on one or more timestamps associated with the baseline data;
generating, in response to the detection of the first trigger, a new insight for the user based on execution of a machine learning model, the new insight being based on a combination of data associated with the first trigger, the initial data value of the attribute of the user related to the employment data for the user, and a data value of at least one attribute of other users within the community of users other than the user related to the employment data for the user;
transmitting, via a network interface of the computing system, a notification indicative of the new insight to a computing system associated with the user;
detecting a second trigger based on an occurrence of an event, a time, and a combination thereof;
deriving, in response to the detection of the second trigger, metrics based on at least one of the baseline data, metrics derived from the baseline data, and combinations thereof;
executing the machine learning model on the derived metrics to generate a second new insight for the user, the second new insight including metrics derived based on baseline data related to employment data for other users within the community of users other than the user;
and
transmitting, via the network interface, the second new insight to the computing system associated with the user.

6 more elements

A non-transitory computer-readable medium comprising instructions which when executed by a processor cause a computer to perform a method comprising:

retrieving baseline data of a user from a data store, the baseline data including an initial data value of an attribute of the user related to employment data for the user and the user being one of a community of users;
detecting a first trigger, the first trigger being based on at least one of a change in the initial data value of the baseline data to a changed data value, a change in at least one metric derived from the baseline data, and a time based trigger based on an amount of time between a specified time and a timing identifier associated with the baseline data, the timing identifier being based on one or more timestamps associated with the baseline data;
generating, in response to the detection of the first trigger, a new insight for the user based on execution of a machine learning model, the new insight being based on a combination of data associated with the first trigger, the initial data value of the attribute of the user related to the employment data for the user, and a data value of at least one attribute of other users within the community of users other than the user related to the employment data for the user;
transmitting, via a network interface of the computing system, a notification indicative of the new insight to a computing system associated with the user;
detecting a second trigger based on an occurrence of an event, a time, and a combination thereof;
deriving, in response to the detection of the second trigger, metrics based on at least one of the baseline data, metrics derived from the baseline data, and combinations thereof;
executing the machine learning model on the derived metrics to generate a second new insight for the user, the second new insight including metrics derived based on baseline data related to employment data for other users within the community of users other than the user;
and
transmitting, via the network interface, the second new insight to the computing system associated with the user.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/790,418Filed 31 Jul 2024 · continuation
Priority: 21 Jan 2020
Published: US 2024/0394320 A128 Nov 2024
Granted: 26 May 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06F 16/955
Retrieval from the web: using information identifiers, e.g. uniform resource locators [URL]
G06F 40/186
Editing, e.g. inserting or deleting: templates
G06F 16/2282
Indexing; Data structures therefor; Storage structures: tablespace storage structures; Management thereof
G06F 16/244
Query languages: grouping and aggregation

Family

Application62/963,670Us provisional application · filed 21 Jan 2020
Application17/148,627Parent of this continuation · filed 14 Jan 2021
US 2024/0394320 A1Pre-grant publication · published 28 Nov 2024
US 12,061,661 B2Parent of this continuation
US 2021/0224339 A1Published application
US 12,639,389 B2This patent

From the US filing history. Foreign family members aren’t listed.