Persona-based application personalization

• US 7,613,692 B2
• Filed: 07/25/2006
• Issued: 11/03/2009
• Est. Priority Date: 07/25/2006
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Zhu, Robert, Hamilton, Keith, Kourbatov, Alexei
• Primary Examiner(s): Rones; Charles
• Assistant Examiner(s): Quader; Fazlul
• Application Number:
  US11/459,780
• Publication Number:
  US 20080027924A1
• Time in Patent Office: 1,197 Days
• Field of Search: 707/3
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

Systems and methods that facilitate persona-based application personalization are disclosed. A persona is a conglomeration of a group of archetypal users that represent the personalization needs of many users and is based on observed behavior and patterns associated with the group of users. Users can be grouped into personas, and the personas can be analyzed to facilitate application personalization at a person level. Individual users can then be mapped to personas based on correlations of their respective individual behaviors and/or usage patters to the usage patterns of the persona as a whole.

Claims

1. A computer-implemented system that facilitates personalizing an application for a user, comprising:

a processor that executes the following computer executable components stored on a computer-readable medium;

a correlation component that evaluates historical application usage data associated with a plurality of users, the correlation component generates at least one persona based upon an identified similarity of the historical application usage for a subset of the plurality of users, the correlation component modifies the application for each persona to reduce the number of steps to perform one or more specific tasks within the application associated with the identified similarity of the historical application usage of the persona;

a persona selection component that allows the user to select one or more of the at least one personas; and

a business intelligence component that maps each of the plurality of users to one or more of the at least one persona as a function of the historical application usage data and the user selected persona(s);

wherein,

at least one persona has one or more sub-personas, wherein each sub-persona is associated with a distinct subset of application feature usage.

2. The system of claim 1, further comprising a content engine that stores and analyzes link information as a function of keywords associated with content related to a link for related content recommendation.

3. The system of claim 1, further comprising a user information engine that stores and analyzes information related to historical usage and application navigation by the plurality of users.

4. The system of claim 1, further comprising an analytics engine that determines patterns of user activity relative to content access by the plurality of users.

5. The system of claim 1, wherein the correlation component modifies the application by providing an application toolbar personalized for the persona with icons for performing the one or more specific tasks within the application associated with the identified correlation of the historical application usage of the persona.

6. The system of claim 1, further comprising a persona inference engine that infers one or more of the at least one persona to which a user is mapped as a function of the historical usage data associated with the user.

7. The system of claim 6, further comprising one or more servers that periodically refine the persona inference rules, and a client interface that enables a client device to download refined persona inference rules and unload one or more inferred current user personas, which are derived at least in part based on the user'"'"'s most recent activity.

8. The system of claim 6, wherein the persona inference engine employs a URL-based inference rule and makes inferences based on substrings associated with URLs visited by the one or more users.

9. The system of claim 6, wherein the persona inference engine employs a keyword-based inference rule and makes inferences based on keywords associated with content viewed by the one or more users.

10. The system of claim 6, wherein the persona-based inference engine employs a search-based inference rule and makes inferences based on user-entered search terms.

11. A computer-implemented method of performing persona-based application personalization, comprising:

employing a processor executing computer executable instructions stored on a computer readable storage medium to implement the following acts;

evaluating usage history information associated with at least one user of an application;

receiving a user selection of a persona; and

inferring a persona from a plurality of defined personas to which to map the at least one user as a function of the usage history associated with the at least one user and the user persona selection, wherein a persona has a correlated history of application feature usage for a plurality of users of the application;

wherein,

at least one persona has one or more sub-personas, wherein each sub-persona is associated with a distinct subset of application feature usage.

12. The method of claim 11, wherein the user is automatically mapped to the persona if the user'"'"'s historical application feature usage is above a threshold level of correlation to the historical application feature usage of the persona.

13. The method of claim 11, wherein the usage history comprises at least one of web content viewed by the at least one user, search terms entered by the at least one user, and URLs visited by the at least one user.

14. The method of claim 11, further comprising dynamically defining each of the plurality of personas as a function of application feature usage history associated with a plurality of users mapped to each persona.

15. The method of claim 14, further comprising updating each persona according to changes in usage history by the plurality of users mapped to each persona over a predefined evaluation period.

16. The method of claim 11, further comprising employing a URL-based inference rule and inferring a persona to which to map the at least one user based on substrings associated with URLs visited by the at least one user.

17. The method of claim 11, further comprising employing a keyword- based inference rule and inferring a persona to which to map the at least one user based on keywords associated with content viewed by the at least one user.

18. The method of claim 11, further comprising employing a search-based inference rule and inferring a persona to which to map the at least one user based on search terms entered by the at least one user.

19. A computer-executable system, comprising:

a processor;

a memory communicatively coupled to the processor, the memory having stored therein computer executable instructions configured to implement the system including;

computer implemented means for generating a plurality of personas, where each persona is based upon an identified correlation of historical usage of a plurality of users of an application;

computer implemented means for modifying the application for each persona to reduce the number of user actions to perform one or more specific tasks within the application associated with the identified correlation of the historical application usage of the persona;

computer-implemented means for analyzing application usage history associated with a user;

computer-implemented means for receiving a user selection of a persona from the plurality of persona;

computer-implemented means for inferring a persona from the plurality of personas to which to map the user based at least in part on the application usage history and the user selection;

computer-implemented means for mapping the user to the persona, wherein each persona has a plurality of users mapped to the persona;

computer-implemented means for updating the persona as a function of the usage history of the plurality of users mapped to the persona;

wherein,

at least one persona has one or more sub-personas, wherein each sub-persona is associated with a distinct subset of application feature usage.