Event based object ranking in a dynamic system

• US 10,846,292 B2
• Filed: 03/14/2013
• Issued: 11/24/2020
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Vmware LLC (Broadcom, Inc.)
• Original Assignee: VMware, Inc. (Broadcom, Inc.)
• Inventors: Sayed, Imran Q., Sathye, Adwait
• Primary Examiner(s): Saeed, Usmaan
• Assistant Examiner(s): Zhao, Yu
• Application Number:
  US13/828,409
• Publication Number:
  US 20140280083A1
• Time in Patent Office: 2,812 Days
• Field of Search: None
• CPC Class Codes: G06F 16/24578 using ranking

Abstract

A method of event based object ranking is described. An object query is computed based upon a user action. The results of the query are ranked based on one or more events associated with objects in the results to create ranked results. The ranked results are provided to the user in response to the query.

Claims

1. A computer-implemented method of event based object ranking, the computer-implemented method comprising:

receiving a request from a user, for computation of an object query, at a machine in a computing environment;

accessing an event database to perform a search for any events that match the object query;

receiving results of the search for any events that match the object query in the event database;

automatically receiving, by said machine in said computing environment, one or more non-query events regarding information that is outside of said object query, said one or more non-query events derived without requiring a second request from said user,

the one or more non-query events not being derived from said results of the search for the object query and said non-query events not related to said object query and said non-query events not related to said results of the events that match the object query, said one or more non-query events provided by a non-query event monitor, and wherein said information that is outside of said object query is pre-determined to be of importance to said user, said information that is outside of said object query is information not related to said object query;

ranking, by said machine in said computing environment, the results of the events that match the object query and the one or more non-query events, to create ranked results that incorporate both the results of the events that match the object query and the one or more non-query events, said ranking performed by said computer; and

providing, by said machine in said computing environment, the ranked results to the user in response to the object query.

2. The computer-implemented method of claim 1, wherein the computing the object query based upon the request comprises:

computing, by said machine in said computing environment, the object query based upon browsing interaction by the user within said dynamic system.

3. The computer-implemented method of claim 1, wherein the computing the object query based upon the request comprises:

computing, by said machine in said computing environment, the object query based upon a specific query actively provided by the user.

4. The computer-implemented method of claim 1, wherein the ranking results of the query based on one or more events associated with objects in the results to create ranked results comprises:

assigning, by said machine in said computing environment, a coefficient of importance to each of the one or more events associated with an object of the results.

5. The computer-implemented method of claim 4, wherein the coefficient of importance is based upon a relative importance assigned to an event type of one or more events.

6. The computer-implemented method of claim 5, wherein the relative importance of the one or more events is predetermined.

7. The computer-implemented method of claim 6, wherein a predefined coefficient of importance of the one or more events is selected from a group consisting of:

a default setting, a contextual importance, a dynamic adjustment and an adjustment by a user.

8. The computer-implemented method of claim 5, wherein the relative importance of the one or more events is dynamically based upon context of what action is being performed by the user.

9. The computer-implemented method of claim 1, wherein the one or more events are weighted, by said machine in said computing environment, by frequency of occurrence.

10. The computer-implemented method of claim 1, wherein the one or more events are weighted, by said machine in said computing environment, by recency of occurrence.

11. The computer-implemented method of claim 1, wherein the ranking, by said machine in said computing environment, is based upon number of the one or more events to occur with respect to an object with greater weight given to more recent events.

12. A non-transitory computer usable storage medium having instructions embodied therein that when executed causes a computer system to perform a method for event based object ranking, the method comprising:

receiving a request from a user, for computation of an object query, at a machine in a computing environment;

accessing an event database to search for any events that match the object query;

receiving results of the search for any events that match the object query in the event database;

automatically receiving, by said machine in said computing environment, one or more non-query events regarding information that is outside of said object query, said one or more non-query events derived without requiring a second request from said user,

the one or more non-query events not being derived from the results of the search for any events that match the object query and said non-query events not related to said object query and said non-query events not related to said results of the events that match the object query, said one or more non-query events provided by a non-query event monitor, and wherein said information that is outside of said object query is pre-determined to be of importance to said user, said information that is outside of said object query is information not related to said object query;

ranking, by said machine in said computing environment, the results of the events that match the object query and the one or more non-query events, based on one or more events associated with objects in the results to create ranked results that incorporate both the results of the events that match the object query and the one or more non-query events, said ranking performed by said computer; and

providing, by said machine in said computing environment, the ranked results to the user in response to the object query.

13. The non-transitory computer usable storage medium of claim 12, wherein the computing an object query comprises:

computing, by said machine in said computing environment, an object query based upon browsing interaction by the user within said dynamic system.

14. The non-transitory computer usable storage medium of claim 12, wherein the computing an object query comprises:

computing, by said machine in said computing environment, an object query based upon a specific query actively provided by the user.

15. The non-transitory computer usable storage medium of claim 12, wherein the ranking, by said machine in said computing environment, of said results of the query based on one or more events associated with objects in the results to create ranked results comprises:

assigning, by said machine in said computing environment, a coefficient of importance to each of the one or more events associated with an object of the results, wherein the coefficient of importance is based upon a relative importance assigned to an event type of one or more events.

16. The non-transitory computer usable storage medium of claim 12, wherein the events are weighted, by said machine in said computing environment, from a group consisting of:

a pre-determined relative importance, a dynamic importance based upon context of what action is being performed by the user, a frequency of occurrence and a recency of occurrence.

17. The non-transitory computer usable storage medium of claim 12, wherein the ranking, by said machine in said computing environment, is based upon number of the one or more events to occur with respect to an object with greater weight given to more recent events.

18. The non-transitory computer usable storage medium of claim 12, wherein a predefined coefficient of importance of said events is selected from a group consisting of:

a default setting, a contextual importance, a dynamic adjustment and an adjustment by the user.