Collaborative data analytics application

Patent metadata

Field	Value
Publication number	US-10346762-B2
Application number	US-201615386369-A
Country	US
Kind code	B2
Filing date	Dec 21, 2016
Priority date	Dec 21, 2016
Publication date	Jul 9, 2019
Grant date	Jul 9, 2019

Abstract

Provided is a process of conducting a collaborative session between two analytics graphical user interfaces (GUI), the process including: instructing a first computing device associated with a first user to display a first GUI having a first graph depicting a first set of values of a first metric; determining that the first graph is to be shared on a second computing device associated with a second user in a second GUI; inferring that the second user prefers to view the first metric in a second graph based on a record of previous interactions in which the second graph was selected to view the first metric; and in response, instructing the second computing device to display in the second GUI the second graph depicting at least some of the first set of values of the first metric.

First claim

What is claimed is:

1. A tangible, non-transitory, machine readable medium storing instructions that when executed by one or more computers effectuate operations to provide a collaborative session between two analytics graphical user interfaces (GUI) presented on two different computing devices, the operations comprising:
instructing a first computing device associated with a first user to display a first GUI having a first graph depicting a first set of values of a first metric;
determining that the first graph is to be shared on a second computing device associated with a second user in a second GUI;
inferring that the second user prefers to view the first metric in a second graph, different from the first graph, based on a record of previous interactions in which the second graph was selected to view the first metric; and
in response to the inference and the determination, instructing the second computing device to display in the second GUI the second graph depicting at least some of the first set of values of the first metric, the first and second computing devices displaying the first and second graphs, respectively, concurrently.

2. The medium of claim 1 , the operations comprising, while displaying the first and second graphs:
receiving, via the first computing device, a first interaction by the first user with the first graph;
instructing the second computing device to update the second graph in the second GUI to indicate the first interaction, wherein the second graph is updated based on a first message sent over a network between the first computing device and the second computing device;
receiving, via the second computing device, a second interaction by the second user with the second graph; and
instructing the first computing device to update the first graph in the first GUI to indicate the second interaction, wherein the first graph is updated based on a second message sent over the network between the first computing device and the second computing device.

3. The medium of claim 2 , wherein:
the first interaction includes a selection of a subset of the first set of values of the first metric that causes the subset to be visually represented differently in both the first graph and the second graph from the other values of the first set of values of the first metric.

4. The medium of claim 1 , wherein:
the first GUI includes at least three concurrently displayed graphs;
the second GUI includes at least three concurrently displayed graphs including both the first graph and the second graph, and wherein:
a first subset of the graphs displayed in the first GUI and the second GUI are visually synchronized to indicate interactions by both the first user and the second user in both the first GUI and the second GUI; and
a second subset of the graphs of the first GUI and the second GUI are not visually synchronized, such that interactions by one of the first user and the second user are not indicated in both the first GUI and the second GUI.

5. The medium of claim 1 , the operations comprising:
selecting graphs to display in collaborative sessions based on pairs of participants in the collaborative sessions.

6. The medium of claim 5 , wherein selecting graphs to display in collaborative sessions comprises:
obtaining a log of previous sessions between a plurality of pairs of users, the log including a plurality of session records, at least some of the session records indicating that users interacted with a GUI during the respective session to add or modify a graph;
accessing session records of sessions between the first user and the second user;
determining, based on the accessed session records, that the second user adds a third graph to the second user's GUI in more than a threshold amount of sessions with the first user;
determining, based on the accessed session records, that the first user does not add the third graph to the first user's GUI in more than a threshold amount of sessions with the second user; and
in response to the determinations, selecting the third graph to display in the second GUI but not in the first GUI.

7. The medium of claim 6 , wherein selecting graphs to display in collaborative sessions comprises:
accessing other session records in the log of sessions between a third user and the second user;
determining, based on the other accessed session records, that the second user does not add the third graph to the second user's GUI in more than a threshold amount of sessions with the third user; and
in response to the determination, determining to not select the third graph to display in a GUI presented to the second user in a session with the third user,
wherein a collaborative session associated with instructing the first computing device to display the first GUI having the first graph is preceded by performing a configuration-preference learning process including both of:
selecting the third graph to display in the second GUI but not the first GUI and not selecting the third graph to display in a GUI presented to the second user in a session with the third user; and
determining to not select the third graph to display in a GUI presented to the second user in a session with the third user.

8. The medium of claim 1 , the operations comprising:
selecting a first plurality of graphs for the first GUI based on a first role associated with the first user;
selecting a second plurality of graphs for the second GUI based on a second role associated with the second user, wherein the first plurality is at least partially different from the second plurality of graphs, and wherein at least part of the first plurality is shared with the second plurality.

9. The medium of claim 8 , the operations comprising:
bidirectionally synchronizing, between the first GUI and the second GUI, at least part of displays of the part of the first plurality of graphs shared with the second plurality of graphs to indicate interactions by the first user with the first GUI on the second GUI and to indicate interactions by the second user with the second GUI on the first GUI.

10. The medium of claim 1 , the operations comprising:
training a machine learning model to infer that the second user prefers to view the first metric in the second graph based on records of previous sessions including the second user and indicating modifications to a GUI made by the second user, wherein:
instructing the second computing device to display in the second GUI the second graph comprises inputting an identifier of the second user into the trained machine learning model to output a result upon which the inference is based.

11. The medium of claim 10 , wherein:
the trained machine learning model is configured to generalize from at least some previous sessions that are at least partially different from the current session with respect to inputs to the machine learning model to infer that the second user prefers to view the first metric in the second graph.

12. The medium of claim 10 , wherein training the machine learning model comprises:
obtaining initial parameters of the machine learning model; and
iteratively, until a termination condition is determined to have occurred:
determining an aggregate amount of differences, or aggregate amount of agreement, between choices made by the second user in the records of previous sessions and inferences output by the machine learning model with current parameters; and
adjusting the parameters of the machine learning model to reduce the aggregate amount of differences or increase the aggregate amount of agreement.

13. The medium of claim 1 , the operations comprising:
assigning identifiers

Assignees

• Ca Inc

Inventors

• Greenspan Steven
• Velez-Rojas Maria
• Zhang Jin
• Mankovskii Serge
• Chen Ye

Classifications

• G06T11/26 Primary

  Drawing of charts or graphs · CPC title

• G06N3/044

  Recurrent networks, e.g. Hopfield networks · CPC title

• G06N3/045

  Combinations of networks · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06F16/2465

  Query processing support for facilitating data mining operations in structured databases · CPC title