US 2014/0278723 A1 · METHODS AND SYSTEMS FOR PREDICTING WORKFLOW PREFERENCES

Abstract

A method of evaluating a workflow may include identifying a plurality of workflows. Each workflow may be associated with one or more users, and each workflow may represent a flow of data between a plurality of services via one or more execution paths. The method may include clustering, by a computing device, the execution paths associated with the plurality of workflows into a plurality of groups. The clustering may be based on the associated services. The method may include creating, by the computing device, a feature tree for each group, clustering, by the computing device, at least a portion of the users into a plurality of interest groups based on at least one of the feature trees, and for at least one of the interest groups, predicting, by the computing device, one or more preferences for one or more users in the interest group.

Claims22

Dependent claims

A method of evaluating a workflow, the method comprising:

identifying a plurality of workflows wherein each workflow is associated with one or more users, wherein each workflow represents a flow of data between a plurality of services via one or more execution paths;
clustering, by a computing device, the execution paths associated with the plurality of workflows into a plurality of groups, wherein the clustering is based on the associated services;
creating, by the computing device, a feature tree for each group;
clustering, by the computing device, at least a portion of the users into a plurality of interest groups based on at least one of the feature trees;
and
for at least one of the interest groups, predicting, by the computing device, one or more preferences for one or more users in the interest group.

3 more elements

A system of evaluating a workflow, the system comprising:

a computing device;
and
a computer-readable storage medium in communication with the computing device, wherein the computer-readable storage medium comprises one or more programming instructions that, when executed, cause the computing device to:
identify a plurality of workflows wherein each workflow is associated with one or more users, wherein each workflow represents a flow of data between a plurality of services via one or more execution paths,
cluster the execution paths associated with the plurality of workflows into a plurality of groups, wherein the clustering is based on the associated services,
create a feature tree for each group,
cluster at least a portion of the users into a plurality of interest groups based on at least one of the feature trees, and
for at least one of the interest groups, predict one or more preferences for one or more users in the interest group.

5 more elements

Dependencies are inferred from the claim text.

Methods and systems for predicting workflow preferences

Life of this patent

Methods and systems for predicting workflow preferences

Life of this patent

Abstract

Claims22