Popularity-based promotion of application features

Patent metadata

Field	Value
Publication number	US-10955986-B2
Application number	US-201616068551-A
Country	US
Kind code	B2
Filing date	Jan 11, 2016
Priority date	Jan 11, 2016
Publication date	Mar 23, 2021
Grant date	Mar 23, 2021

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.

First claim

What is claimed is:

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 predet

Assignees

• Entit Software Llc
• Micro Focus Llc

Inventors

• Busi Eliraz
• Ben-Yehuda Itay
• Shmaya Daniel

Classifications

• G06F11/3438 Primary

  monitoring of user actions (tracking the activity of the user H04L67/535) · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• G06F3/0481 Primary

  based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title