Contextual relevance engine for activity feeds

• US 9,501,531 B2
• Filed: 05/18/2011
• Issued: 11/22/2016
• Est. Priority Date: 05/18/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Sinha, Avijit, Stavrou, Evan
• Primary Examiner(s): SYED, FARHAN M
• Application Number:
  US13/110,277
• Publication Number:
  US 20120296919A1
• Time in Patent Office: 2,015 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context

Abstract

A method for determining relevance for activity feeds is disclosed. Activity feeds are received from one or more business entities. Information is received regarding activities being performed by a user. Context information is received regarding the user. A user context is determined from the information the regarding activities being performed by the user and the context information. The user context indicates the current status of the user. A relevance of the activity feeds is determined based on the user context. At least some of the activity feeds are displayed on a computing device. The at least some of the activity feeds are displayed according to a priority determined by the relevance.

Claims

1. A method implemented on a computing device for determining relevance for activity feeds, the method comprising:

aggregating activity feeds received from a plurality of external systems, enterprise systems, and enterprise data stores without user input, wherein the activity feeds include at least one of information regarding activities performed by a user, activities performed by members of a social network of the user, user context information, or environmental information, the aggregating of the activity feeds comprising;

monitoring, listening to and recording change activity from the plurality of enterprise systems,

accepting change activity information provided by the plurality of enterprise systems, and

building a search index by crawling the plurality of enterprise systems; and

gathering the information regarding the activities performed by the user from the aggregated activity feeds;

gathering the user context information from the aggregated activity feeds;

gathering the environmental information from the aggregated activity feeds;

determining a user context from the user context information and the activities, the user context indicating a current status of the user;

determining an environmental context from the environmental information;

determining a ranking of the activity feeds based on the user context, the environmental context, and type of each activity feed;

calculating a relevance score for each of the activity feeds based on the ranking;

maintaining the ranking of the activity feeds independently of the user context;

determining a relevance of the activity feeds based on the ranking and the relevance score; and

displaying at least some of the activity feeds on the computing device according to a priority determined by the relevance.

2. The method of claim 1, wherein aggregating the activity feeds further comprises monitoring, listening to and recording change activity from the plurality of enterprise systems.

3. The method of claim 1, wherein aggregating the activity feeds further comprises accepting change activity information provided by the plurality of enterprise systems.

4. The method of claim 1, wherein the plurality of external systems comprises one or more web sites external to the plurality of enterprise systems.

5. The method of claim 1, further comprising receiving one or more categories of activity information identified as being of interest to the user.

6. The method of claim 5, wherein the calculation of the relevance is further based on the one or more categories of activity information identified as being of interest to the user.

7. The method of claim 1, wherein aggregating the activity feeds further comprises building a search index by crawling the one or more of the business entities.

8. The method of claim 1, wherein aggregating the activity feeds further comprises exposing one or more application programming interfaces through which change activity data is submitted.

9. The method of claim 1, wherein gathering the information regarding the activities performed by the user further comprises obtaining information from one or more of a calendar, an email system, a document system and an enterprise data system.

10. The method of claim 1, further comprising receiving and implementing configuration information regarding when user activity is tracked, when activity information is gathered, when the user context is determined and when the relevance is calculated.

11. The method of claim 1, further comprising providing one or more application programming interfaces for receiving requests from one or more applications for contextually relevant activity feeds.

12. The method of claim 1, wherein the environmental information includes time of day and location.

18. The method of claim 1, further comprising:

receiving user preferences, and

wherein determine the ranking of the activity feeds is further based on the user preferences.

19. The method of claim 18, further comprising:

providing selectable activities of interest on a preferences user interface, and

wherein the user preferences are received from a selection by the user of the selectable activities of interest on the preferences user interface.

20. The method of claim 1, wherein the plurality of enterprise systems comprise business organization e-mail systems, business organization database systems and web sites within a business organization.

13. A server computer comprising:

a processing unit; and

system memory, the system memory including instructions that, when executed by the processing unit, cause the server computer to;

aggregate activity feeds received from a plurality of external systems, enterprise systems, and enterprise data stores without user input, wherein the activity feeds include at least one of information regarding activities performed by a user, activities performed by member of a social network of the user, user context information, or environmental information, the aggregating of the activity feeds comprising;

monitoring, listening to and recording change activity from the plurality of enterprise systems;

accepting change activity information provided by the plurality of enterprise systems; and

building a search index by crawling the plurality of enterprise systems;

gather the information regarding the activities performed by the user from the aggregated activity feeds;

gather the user context information from the aggregated activity feeds;

gather the environmental information from the activity feeds;

determine a user context from the gathered information regarding the activities performed by the user and the user context information, the user context indicating a current status of the user;

determine an environmental context from the environmental information;

determine a ranking of the activity feeds based on the user context, the environmental context, and type of each activity feed;

maintain the ranking of the activity feeds independently of the user context;

calculate a relevance of the activity feeds by calculating a relevance score for each of the activity feeds based on the ranking; and

display at least some of the activity feeds on a computing device according to a priority determined by the calculated relevance.

14. The server computer of claim 13, wherein the instructions further cause the server computer to provide one or more application programming interfaces for receiving requests from one or more applications for contextually relevant activity feeds.

15. The server computer of claim 13, wherein the instructions further cause the server computer to expose one or more application programming interfaces through which change activity data may be submitted.

16. The server computer of claim 13, wherein the environmental information includes GPS position, outside temperature and date.

17. A computer readable storage medium comprising instructions that, when executed by a server computer, cause the server computer to:

aggregate activity feeds received from a plurality of external systems, enterprise systems, and enterprise data stores without user input, wherein the activity feeds include information regarding activities performed by a user, user context information, and environmental information, the aggregate of the activity feeds comprising;

monitoring, listening to and recording change activity from the plurality of enterprise systems,

accepting change activity information provided by the plurality of enterprise systems, and

building a search index by crawling the plurality of enterprise systems;

gather information regarding the activities performed by the user from the aggregated activity feeds;

determine a user context from the information regarding the activities performed by the user, the user context indicating a current status of the user;

determine a ranking of the activity feeds based on the user context, an environmental context, and type of each activity feed;

maintain the ranking of the activity feeds independently of the user context;

calculate a relevance of the activity feeds by calculating a relevance score for each of the activity feeds based on the ranking; and

display at least some of the activity feeds on a computing device according to a priority determined by the calculated relevance.