US 2016/0307210 A1Published application

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 Stencl, 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.

Claims30

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 one or more recommendations of potential user interactions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user;
determining a recommendation score for each recommendation;
configuring a user interface comprising one or more widgets, each widget comprising a user interface element configured to receive one or more user interactions associated with a recommendation, the configuring of the user interface comprising:
for each of the one or more widgets, 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 each of the one or more widgets, 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 one or more widgets of the user interface.

17 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 one or more recommendations of potential user interactions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user;
determining a recommendation score for each recommendation;
configuring a user interface comprising one or more widgets, each widget comprising a user interface element configured to receive one or more user interactions associated with a recommendation, the configuring of the user interface comprising:
for each of the one or more widgets, 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 each of the one or more widgets, 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 one of the one or more widgets of the user interface.

17 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 one or more recommendations of potential user interactions based on past user interactions performed by users of the multi-tenant system in contexts matching a context of the user;
determining a recommendation score for each recommendation;
configuring a user interface comprising one or more widgets, each widget comprising a user interface element configured to receive one or more user interactions associated with a recommendation, the configuring of the user interface comprising:
for each of the one or more widgets, determining a value of an attribute of the widget based on the recommendation score of the recommendation associated with the widget, the attribute specifying at least one of:
a size of the widget;
a size of text associated with the widget;
or
an appearance of the widget;
and
configuring each of the one or more widgets,
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 one of the one or more widgets of the user interface.

20 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/690,321Filed 17 Apr 2015
Published: 20 Oct 2016
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