US 10,121,157 B2Granted

Recommending user actions based on collective intelligence for a multi-tenant data analysis system

AssigneeGoodData Corporation

InventorsGaurav Vijay Agarwal, Jan Vlcek, Winston Christie-Blick, Michael {hacek over (S)}tencl, Martin Matula

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Abstract

A multi-tenant system stores data for customers. The multi-tenant system presents user interfaces allowing users associated with the customers to perform analysis of data stored for the customer. The multi-tenant system determines recommendations for subsequent user actions that can be performed by a user in a context. The context includes a report being analyzed, a type of visualization of the report, one or more interactions performed by the user with the report, and so on. The multi-tenant system presents one or more widgets based on the recommendations that allow the user to perform the recommended action. The multi-tenant system may determine a recommendation based on past interactions of a subset of users of the multi-tenant system, for example, users associated with a type of industry, users having a particular role in an organization, or a level of experience of the user with analysis of data.

Claims29

Dependent claims

A method for recommending user actions for data analysis, the method comprising:

storing, by a multi-tenant system, data received from a plurality of external systems, each external system associated with a customer of the multi-tenant system, each customer associated with one or more users;
monitoring, by the multi-tenant system, user interactions performed by users of the multi-tenant system with reports, the monitoring comprising associating a user interaction with a context in which the user interaction is performed, the context identifying at least a report with which the user interaction was performed;
performing, by the multi-tenant system, a sequence of interactions with the user, the performing of each interaction comprising:
determining a recommendation comprising a potential sequence of computer-executable actions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user, the matching contexts comprising sequences of the past user interactions, wherein the context of the user comprises a present sequence of user interactions performed by the user;
determining a recommendation score for the recommendation, wherein determining the recommendation score comprises determining an aggregate value based on the past user interactions;
responsive to determining the recommendation score for the recommendation, constructing a computer-actionable widget for the recommendation based on the recommendation score, and configuring a user interface comprising the computer-actionable widget, the widget comprising a compiled graphical user interface element configured to receive one or more user interactions associated with the recommendation and automatically execute the recommended sequence of potential computer-executable actions, the configuring of the user interface comprising:
determining a value of an attribute of the widget based on the recommendation score of the recommendation associated with the widget, the attribute specifying one of:
a size of the widget;
a size of text associated with the widget;
or
an appearance of the widget;
and
configuring the computer-actionable widget, comprising, performing at least one of:
scaling the size of the widget according to the determined value of the attribute;
scaling the size of the text associated with the widget according to the determined value of the attribute;
or
configuring the appearance of the widget according to the determined value of the attribute;
and
receiving an interaction from the user based on the computer-actionable widget of the user interface.

16 more elements

A non-transitory computer-readable storage medium storing instructions for:

storing, by a multi-tenant system, data received from a plurality of external systems, each external system associated with a customer of the multi-tenant system, each customer associated with one or more users;
monitoring, by the multi-tenant system, user interactions performed by users of the multi-tenant system with reports, the monitoring comprising associating a user interaction with a context in which the user interaction is performed, the context identifying at least a report with which the user interaction was performed;
performing, by the multi-tenant system, a sequence of interactions with the user, the performing of each interaction comprising:
determining a recommendation comprising a potential sequence of computer-executable actions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user, the matching contexts comprising sequences of the past user interactions, wherein the context of the user comprises a present sequence of user interactions performed by the user;
determining a recommendation score for the recommendation, wherein determining the recommendation score comprises determining an aggregate value based on the past user interactions;
responsive to determining the recommendation score for the recommendation, constructing a computer-actionable widget for the recommendation based on the recommendation score, and configuring a user interface comprising a computer-actionable widget, the widget comprising a compiled graphical user interface element configured to receive one or more user interactions associated with the recommendation and automatically execute the recommended sequence of potential computer-executable actions, the configuring of the user interface comprising:
determining a value of an attribute of the widget based on the recommendation score of the recommendation associated with the widget, the attribute specifying one of:
a size of the widget;
a size of text associated with the widget;
or
an appearance of the widget;
and
configuring the computer-actionable widget, comprising, performing at least one of:
scaling the size of the widget according to the determined value of the attribute;
scaling the size of the text associated with the widget according to the determined value of the attribute;
or
configuring the appearance of the widget according to the determined value of the attribute;
and
receiving an interaction from the user based on the computer-actionable widget of the user interface.

16 more elements

A computer system comprising:

a processor;
and
a non-transitory computer-readable storage medium storing instructions for execution by the processor, the instructions for:
storing, by a multi-tenant system, data received from a plurality of external systems, each external system associated with a customer of the multi-tenant system, each customer associated with one or more users;
monitoring, by the multi-tenant system, user interactions performed by users of the multi-tenant system with reports, the monitoring comprising associating a user interaction with a context in which the user interaction is performed, the context identifying at least a report with which the user interaction was performed;
performing, by the multi-tenant system, a sequence of interactions with the user, the performing of each interaction comprising:
determining a recommendation comprising a potential sequence of computer-executable actions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user, the matching contexts comprising sequences of the past user interactions, wherein the context of the user comprises a present sequence of user interactions performed by the user;
determining a recommendation score for the recommendation, wherein determining the recommendation score comprises determining an aggregate value based on the past user interactions;
responsive to determining the recommendation score for the recommendation, constructing a computer-actionable widget for the recommendation based on the recommendation score, and configuring a user interface comprising the computer-actionable widget, the widget comprising a compiled graphical user interface element configured to receive one or more user interactions associated with the recommendation and automatically execute the recommended sequence of potential computer-executable actions, the configuring of the user interface comprising:
determining a value of an attribute of the widget based on the recommendation score of the recommendation associated with the widget, the attribute specifying one of:
a size of the widget;
a size of text associated with the widget;
or
an appearance of the widget;
and
configuring the computer-actionable widget, comprising, performing at least one of:
scaling the size of the widget according to the determined value of the attribute;
scaling the size of the text associated with the widget according to the determined value of the attribute;
or
configuring the appearance of the widget according to the determined value of the attribute;
and
receiving an interaction from the user based on the computer-actionable widget of the user interface.

19 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/690,321Filed 17 Apr 2015
Published: US 2016/0307210 A120 Oct 2016
Granted: 6 Nov 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G06Q 30/0201
Marketing; Price estimation or determination; Fundraising: market modelling; Market analysis; Collecting market data
G06F 3/0484
Interaction techniques based on graphical user interfaces [GUI]: for the control of specific functions or operations, e.g. selecting or…
G06F 16/24578
With adaptation to user needs: using ranking
G06Q 10/06316
Resource planning, allocation, distributing or scheduling for enterprises or organisations: sequencing of tasks or work