IP Library Granted Patent US 10,955,986
Granted Patent B2
US 10,955,986 · App. 16/068,551 · Granted Mar 23, 2021

Popularity-based promotion of application features

Inventors: Eliraz Busi (Yehud, IL); Itay Ben-Yehuda (Yehud, IL); Daniel Shmaya (Yehud, IL)
Assignee: MICRO FOCUS LLC
G06F3/0481G06F11/3438G06F16/9535G06Q30/0631
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Quick Facts
Patent No.
US 10,955,986
App. No.
16/068,551
Granted
Mar 23, 2021
Kind
B2
Abstract

According to an example, usage of a plurality of features of an application by users in each of a plurality of tenants may be accessed. Popularities of the plurality of features among the users in each of the plurality of tenants may be determined and a feature of the plurality of features to be promoted to the users in the first tenant may be identified based upon the determined popularities of the features. Additionally, a visual callout to the identified feature may be caused to be displayed to the users in the first tenant to promote the identified feature to the users in the first tenant.

Claims (72)

1. A method comprising:

accessing, by a processor, usage of a plurality of features of an application by users in each tenant of a plurality of tenants, wherein the plurality of tenants are different groups of users, and the users in each tenant belong to a same type of users;

determining, by the processor, popularities and unpopularities of each feature of the plurality of features among the users in each tenant of the plurality of tenants, including:

comparing a total usage of each feature of the plurality of features by all of the users in each tenant to a predetermined threshold,

in response to a determination that the total usage of the feature by all of the users in the tenant is above the predetermined threshold, determining that the feature is popular among the users in the tenant, and

in response to a determination that the total usage of the feature is below the predetermined threshold, determining that the feature is unpopular among the users in the tenant;

based on the popularities and unpopularities of each feature of the plurality of features among the users in each tenant of the plurality of tenants, identifying, by the processor, for a first tenant of the plurality of tenants, a first feature of the plurality of features as being unpopular among the users in the first tenant and as being popular among the users in other tenants of the plurality of tenants; and

causing, by the processor, a display of the first feature to all of the users in the first tenant to promote the first feature to the users in the first tenant.

2. The method according to claim 1 , further comprising:

creating, for each tenant of the plurality of tenants, a sorted list of features of the plurality of features according to the popularities and unpopularities of the plurality of features among all of the users in each tenant; and

comparing, by the processor, the sorted lists with each other to determine differences between the usage of the plurality of features by the users in the plurality of tenants,

wherein identifying the first feature further comprises identifying the first feature based upon the comparison of the sorted lists.

3. The method according to claim 2 , further comprising:

determining, in each list of the sorted lists, which features of the plurality of features correspond to first usages of the plurality of features that each exceeds the predetermined threshold and which features of the plurality of features correspond to second usages of the plurality of features that each falls below the predetermined threshold, wherein the features corresponding to the first usages are determined to be popular and the features corresponding to the second usages are determined to be unpopular, and

wherein identifying the first feature further comprises identifying the first feature to be a feature that is determined to be unpopular to the users in the sorted list for the first tenant.

4. The method according to claim 3 , wherein identifying the first feature further comprises identifying the first feature to be a feature that is determined to be popular to the users in the sorted list for the tenant or tenants of the plurality of tenants other than the first tenant.

5. The method according to claim 4 , wherein the users in the first tenant perform a first role in an organization, and

wherein identifying the first feature further comprises identifying the first feature to be a feature that is determined to be popular to the users in another tenant of the plurality of tenants which perform a similar role to the first role.

6. The method according to claim 1 , wherein the application includes a page that is displayed to the users in the first tenant, the method further comprising:

determining a location on the page at which a visual callout to the first feature is to be displayed; and

wherein causing a display of the first feature comprises causing the visual callout to the first feature to be displayed at the location on the page.

7. The method according to claim 6 , further comprising:

identifying a popular feature of the plurality of features for the users in the first tenant, wherein the popular feature is a feature that exceeds a predefined threshold value of popularity of the users in the first tenant;

identifying a position at which an icon corresponding to the popular feature is to be displayed on the page; and

wherein determining the location on the page further comprises determining the location on the page to be based on the position of the icon.

8. The method according to claim 1 , further comprising:

for each tenant of the plurality of tenants,

determining whether a given feature of the plurality of features is to be promoted to the users in the tenant based on a popularity of the given feature; and

in response to a determination that the given feature is to be promoted, causing a display of the given feature to the users in the tenant.

9. A computing apparatus comprising:

a processor; and

a machine-readable medium storing machine-readable instructions that, when executed by the processor, cause the processor to:

access usage of a plurality of features of an application by users in each group of a plurality of groups, wherein the users in each group belong to a same type of users;

determine popularities and unpopularities of each feature of the plurality of features among the users in each group of the plurality of groups, including machine-readable instructions that cause the processor to:

compare a total usage of each feature of the plurality of features by all of the users in each group to a predetermined threshold,

in response to a determination that the total usage of the feature by all of the users in the group is above the predetermined threshold, determine that the feature is popular among the users in the group, and

in response to a determination that the total usage of the feature is below the predetermined threshold, determine that the feature is unpopular among the users in the group;

based on the popularities and unpopularities of each feature of the plurality of features among the users in each group of the plurality of groups, identify, for a first group of the plurality of groups, a first feature of the plurality of features as being unpopular among the users in the first group and as being popular among the users in other groups of the plurality of groups; and

cause a display of the first feature to all of the users in the first group to promote the first feature to the users in the first group.

10. The computing apparatus according to claim 9 , wherein the machine-readable instructions, when executed by the processor, further cause the processor to:

create, for each group of the plurality of groups, a sorted list of the plurality of features according to the popularities and unpopularities of the plurality of features among the users in each group;

compare the sorted lists with each other to determine differences between the usage of the plurality of features by the users in the plurality of groups; and

wherein the machine-readable instructions cause the processor to identify the first feature based upon the comparison of the sorted lists.

11. The computing apparatus according to claim 10 , wherein the machine-readable instructions, when executed by the processor, further cause the processor to determine, in each list of the sorted lists, which features of the plurality of features correspond to first usages of the plurality of features that each exceeds the predetermined threshold and which features of the plurality of features correspond to second usages of the plurality of features that each falls below the predetermined threshold,

wherein the features corresponding to the first usages are determined to be popular and the features corresponding to the second usages are determined to be unpopular, and

wherein the machine-readable instructions further cause the processor to identify the first feature to be a feature that is unpopular to the users in the sorted list for the first group.

12. The computing apparatus according to claim 9 , wherein the application includes a page that is displayed to the users in the first group, and wherein the machine-readable instructions, when executed by the processor, further cause the processor to:

determine a location on the page at which a visual callout to the first feature is to be displayed; and

cause the visual callout to be displayed at the location.

13. The computing apparatus according to claim 9 , wherein the machine-readable instructions, when executed by the processor, further cause the processor to:

identify, for the users in the first group, a popular feature of the plurality of features, wherein the popular feature is a feature of the plurality of features which exceeds a predefined threshold value of popularity of the users in the first group;

identify a position at which an icon corresponding to the popular feature is to be displayed; and

determine a location on a page at which a visual callout to the first feature is to be displayed to be based on the position of the icon corresponding to the popular feature.

14. A non-transitory machine-readable storage medium that stores machine-readable instructions that, when executed by a processor, cause the processor to:

access usage of a plurality of features of an application by users in each group of a plurality of groups, wherein the users in each group belong to a same type of users;

determine popularities and unpopularities of each feature of the plurality of features among the users in each group of the plurality of groups, including instructions that cause the processor to:

compare a total usage of each feature of the plurality of features by all of the users in each group to a predetermined threshold,

in response to a determination that the total usage of the feature by all of the users in the group is above the predetermined threshold, determine that the feature is popular among the users in the group, and

in response to a determination that the total usage of the feature is below the predetermined threshold, determine that the feature is unpopular among the users in the group;

create, for each group of the plurality of groups, a sorted list of the plurality of features according to the popularities and unpopularities of each feature of the plurality of features among the users in each group;

compare the sorted lists with each other to determine differences between the usage of the plurality of features by the users in the plurality of groups;

based on the comparison of the sorted lists, identify, for a first group of the plurality of groups, a first feature of the plurality of features as being unpopular among the users in the first group and as being popular among the users in other groups of the plurality of groups; and

cause a display of the first feature to all of the users in the first group to promote the first feature to the users in the first group.

15. The non-transitory machine-readable storage medium according to claim 14 , wherein the application includes a page that is displayed to the users in the first group, and wherein the machine-readable instructions, when executed by the processor, further cause the processor to:

identify a popular feature of the plurality of features for the users in the first group, wherein the popular feature exceeds a predefined threshold value of popularity of the users in the first group;

identify a position at which an icon corresponding to the popular feature is displayed on the page; and

cause a visual callout to the first feature to be displayed at a location based on the position of the icon corresponding to the popular feature.

16. The non-transitory machine-readable storage medium according to claim 14 , wherein the users in the first group perform a first role in an organization, and

wherein the machine-readable instructions, when executed, cause the processor to identify a feature that is determined to be popular to the users in another group of the plurality of groups which perform a similar role to the first role.

17. The non-transitory machine-readable storage medium according to claim 14 , wherein the application includes a page that is displayed to the users in the first group, and wherein the machine-readable instructions cause the processor to:

determine a location on the page at which a visual callout to the first feature is to be displayed; and

wherein the machine-readable instructions, when executed, cause the processor to cause the visual callout to be displayed at the location on the page.

Assignments (7)
RELEASE OF SECURITY INTEREST REEL/FRAME 052295/0041 Recorded Feb 2, 2023
From: JPMORGAN CHASE BANK, N.A.
To: MICRO FOCUS LLC; MICRO FOCUS SOFTWARE INC. (F/K/A NOVELL, INC.); NETIQ CORPORATION
Reel/Frame 062625/0754 →
RELEASE OF SECURITY INTEREST REEL/FRAME 052294/0522 Recorded Feb 2, 2023
From: JPMORGAN CHASE BANK, N.A.
To: MICRO FOCUS LLC; MICRO FOCUS SOFTWARE INC. (F/K/A NOVELL, INC.); NETIQ CORPORATION
Reel/Frame 062624/0449 →
SECURITY AGREEMENT Recorded Apr 2, 2020
From: MICRO FOCUS LLC; BORLAND SOFTWARE CORPORATION; MICRO FOCUS SOFTWARE INC.; NETIQ CORPORATION; MICRO FOCUS (US), INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 052295/0041 →
SECURITY AGREEMENT Recorded Apr 2, 2020
From: MICRO FOCUS LLC; BORLAND SOFTWARE CORPORATION; MICRO FOCUS SOFTWARE INC.; NETIQ CORPORATION; MICRO FOCUS (US), INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 052294/0522 →
CHANGE OF NAME Recorded Aug 8, 2019
From: ENTIT SOFTWARE LLC
To: MICRO FOCUS LLC
Reel/Frame 050004/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2018
From: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
To: ENTIT SOFTWARE LLC
Reel/Frame 047470/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2018
From: BUSI, ELIRAZ; BEN-YEHUDA, ITAY; SHMAYA, DANIEL
To: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Reel/Frame 046860/0303 →
Continuity (1)
Related Publication 20190018550A1 · Jan 17, 2019