Displaying and posting aggregated social activity on a piece of enterprise content

• US 10,169,457 B2
• Filed: 03/03/2014
• Issued: 01/01/2019
• Est. Priority Date: 03/03/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Miller, Robin, Debald, Stefan, Shah, Viral, Stickler, Joshua, Holm, Fredrik, Kuppusamy, Ashok, Eikeland, Oyvind Linna, Selvarathnam, Mathuranthagaa, Roman, Marcin Lukasz, Perera, Colamba Patabedige Janaka Chathuranga, Lilleby, Bjornstein, Devik, Rune, Bal, Sangram Jyoti
• Primary Examiner(s): Wong, Leslie
• Application Number:
  US14/195,184
• Publication Number:
  US 20150248480A1
• Time in Patent Office: 1,765 Days
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A personalized view of insights into social activity surrounding a content item is provided that may indicate to a user why a given piece of content may be interesting to him/her. A user'"'"'s activities, as well as the activities of others (e.g., colleagues of the user) may be shown, including such items as a total number of views, comments, followers, and likes associated with the content item. The insights view may be personalized based on the user'"'"'s relationships with other users in association with the content item. The user may learn through the personalized view who among his/her relationships have commented, edited, shared, or liked the content item, as well as, how many of the user'"'"'s colleagues have viewed the content item. In addition, through a search function that may be applied to the view content, a user may learn about related content items based on the social insights.

Claims

1. A method for providing social activity insights, the method comprising:

displaying a client application on a client device;

receiving a request from a user to display a content item in the client application;

in response to receiving the request, querying a graph to determine activities taken with respect to the content item by other users, and relationships between the user and the other users, the relationships including implicit and explicit relationships between the user and the other users, wherein at least one activity or relationship is weighted and at least one explicit relationship is defined according to an organization structure;

determining one or more insights associated with the content item, the one or more insights identifying the activities taken with respect to the content item by the other users, wherein the one or more insights are personalized based on the user'"'"'s relationships with the other users, and the determining is based on weighting of the at least one activity or relationship determined in the querying of the graph;

generating a user interface for displaying the one or more insights to the user; and

displaying the user interface in the client application, the user interface including a preview of the content item and the one or more insights presented in association with the preview of the content item.

2. The method of claim 1, further comprising:

identifying one or more commonalities between activity data associated with the content item and relationship data or activity data associated with the user; and

defining the one or more commonalities as one or more insights associated with the content item and relating to the user.

3. The method of claim 2, wherein:

the querying comprises;

querying the graph for activity edges connected to the content item persisted as a first node, and

querying the graph for one or more of relationship edges or activity edges connected to the user persisted as a second node.

4. The method of claim 3, further comprising:

calculating weights for the activity edges according to one or more of;

a type of activity performed;

a type of relationship the user has with an individual performing the activity;

how recently the activity was performed;

or

a number of times the activity was performed; and

ranking the activity edges according to the calculated weights.

5. The method of claim 4, wherein determining one or more insights associated with the content item comprises determining a predetermined or selected number of top ranking activity edges according to the calculated weights.

6. The method of claim 2, wherein identifying one or more commonalities between the activity data associated with the content item and the relationship data or activity data associated with the user comprises identifying whether an individual with whom the user has an explicit or an implicit relationship has acted on the content item.

7. The method of claim 6, wherein identifying whether an individual with whom the user has an explicit or an implicit relationship has acted on the content item comprises identifying whether an individual with whom the user has an explicit or an implicit relationship has performed one or more of:

viewed the content item;

liked the content item;

followed the content item;

shared the content item;

or

commented on the content item.

8. The method of claim 2, wherein the activity data and the relationship data are aggregated from a plurality of information sources.

9. The method of claim 1, wherein generating a user interface for displaying the one or more insights to the user comprises surfacing one or more search queries as one or more selectable tags.

10. The method of claim 9, further comprising:

receiving an indication of a selection of a tag;

searching for one or more content items matching parameters of the selected tag; and

if one or more content items matching parameters of the selected tag are found, displaying the one or more content items matching parameters of the selected tag and insights in a user interface.

11. The method of claim 1, further comprising displaying one or more properties associated with the content item, the one or more properties comprising one or more of:

a number of views;

a number of likes;

a number of followers;

or

a number of comments.

12. The method of claim 11, further comprising providing one or more functionalities for acting on the content item without switching context.

13. A system for providing social activity insights, the system comprising:

one or more processors; and

a memory coupled to the one or more processors, the one or more processors operable to;

display a client application on a client device;

receive a request from a user to display a content item in the client application;

in response to receiving the request, query a graph to determine activities taken with respect to the content item by other users, and relationships between the user and the other users, the relationships including implicit and explicit relationships between the user and the other users, wherein at least one activity or relationship is weighted and at least one explicit relationship is defined according to an organization structure;

determine one or more insights associated with the content item, based on an activity and relationship associated with the user, the one or more insights identifying the activities taken with respect to the content item by the other users, wherein the one or more insights are personalized based on the user'"'"'s relationships with the other users, and determining of the one or more insights is based on weighting of the at least one activity or relationship determined in querying of the graph;

generate a user interface for displaying the one or more insights to the user; and

display the user interface in the client application, the user interface including a preview of the content item and the one or more insights presented in association with the preview of the content item.

14. The system of claim 13, wherein in determining one or more insights associated with the content item and relating to the user, the one or more processors are operable to:

query the graph for activity edges connected to the content item persisted as a first node;

query the graph for one or more of relationship edges or activity edges connected to the user persisted as a second node;

identify one or more commonalities between the activity edges connected to the first node and the relationship data or activity edges connected with the second node; and

defining the one or more commonalities as one or more insights associated with the content item and relating to the user.

15. The system of claim 14, wherein the one or more processors are further operable to:

calculate weights for the activity edges according to one or more of;

a type of activity performed;

a type of relationship the user has with an individual performing the activity;

how recently the activity was performed;

or

a number of times the activity was performed;

rank the activity edges according to the calculated weights;

determine a predetermined or selected number of top ranking activity edges according to the calculated weights; and

define the predetermined or selected number of top ranking activity edges as the one or more insights.

16. The system of claim 13, wherein in generating a user interface for displaying the one or more insights to the user, the one or more processors are further operable to:

surface one or more search queries as one or more selectable tags, wherein the one or more selectable tags comprise user-generated tags or automatically suggested tags;

receive an indication of a selection of a tag;

search for one or more content items matching parameters of the selected tag; and

if one or more content items matching parameters of the selected tag are found, display the one or more content items and insights associated with the one or more content items in a user interface.

17. A computer readable medium containing computer executable instructions which, when executed by a computer, perform a method for providing social activity insights, the method comprising:

displaying a client application on a client device;

receiving a request from a user to display a content item in the client application;

in response to receiving the request, querying a graph for activity edges connected to a first node associated with the content item, the activity edges identifying activities taken with respect to the content item by other users;

querying the graph for one or more of relationship edges or activity edges connected to a second node associated with a user, the relationship edges identifying implicit and explicit relationships between the user and the other users, wherein at least one activity or relationship is weighted and at least one explicit relationship is defined according to an organization structure;

identifying one or more commonalities between the activity edges connected to the first node and the relationship edges or activity edges connected to the second node; and

defining the one or more commonalities as one or more insights associated with the content item and relating to the user interacting with the content item, wherein the defining is based on weighting of the at least one activity or relationship determined in querying of the graph;

generating a user interface for displaying the one or more insights to the user;

displaying the user interface in the client application, the user interface including a preview of the content item and the one or more insights presented in association with the preview of the content item; and

displaying one or more properties associated with the content item, the one or more properties comprising one or more of;

a number of views;

a number of likes;

a number of followers;

or

a number of comments.

18. The computer readable medium of claim 17, wherein defining the one or more commonalities as one or more insights associated with the content item and relating to the user comprises:

calculating weights for the activity edges according to one or more of;

a type of activity performed;

a type of relationship the user has with an individual performing the activity;

how recently the activity was performed;

or

a number of times the activity was performed;

ranking the activity edges according to the calculated weights; and

defining a predetermined or selected number of top ranking activity edges as the one or more insights according to the calculated weights.

19. The computer readable medium of claim 17, further comprising providing one or more functionalities for acting on the content item without switching context, the one or more functionalities enabling the user to:

view the content item;

like the content item;

mark the content item as a favorite;

share the content item;

or

comment on the content item.

20. The computer readable medium of claim 17, further comprising displaying one or more selectable tags identifying the one or more insights, wherein selection of one of the one or more selectable tags causes a search query to be performed for the insight associated with the one of the one or more selectable tags, and wherein at least one of the insights highlights activity associated with users with whom the user has a connection.