LIKELIHOOD-BASED PERSONALIZED NAVIGATION SYSTEM AND METHOD

• US 20140298203A1
• Filed: 05/23/2013
• Published: 10/02/2014
• Est. Priority Date: 03/28/2013
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Linkedln Corporation
• Inventors: Cohen, Tomer, Prasad, Kiran, McGuire, Leah M.M., Gupta, Akhilesh
• Granted Patent: US 9,189,139 B2
• Time in Patent Office: Days
• US Class Current: 715/753
• CPC Class Codes: G06F 3/0481 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 Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system may be configured to provide a user interface on a mobile device for a social network having a plurality of functions. The system may include a display, configured to display a representation of each of a subset of the plurality of functions, wherein each function of the subset is implementable upon selection of a representation corresponding to the function by a user and a processor, configured to dynamically generate the subset of the plurality of functions based, at least in part, on a likelihood for each of the functions that the user will select a corresponding representation. The display may be configured to display the subset as dynamically generated.

Claims

1. A system configured to provide a user interface on a mobile device for a social network having a plurality of functions, comprising:

a display, configured to display a representation of each of a subset of the plurality of functions, wherein each function of the subset is implementable upon selection of a representation corresponding to the function by a user;

a processor, configured to dynamically generate the subset of the plurality of functions based, at least in part, on a likelihood for each of the functions that the user will select a corresponding representation;

wherein the display is configured to display the subset as dynamically generated.

2. The system of claim 1, wherein the corresponding likelihood for each function is based on at least one of:

a consistency of selection of a function over time;

an amount of use of the function per selection; and

a minimum number of selections of the function.

3. The system of claim 2, wherein the processor is configured to order the subset for display of the representations based, at least in part, on a weight of the corresponding functions of the subset.

4. The system of claim 3, wherein the weight of each function is based on the corresponding likelihood and a user command to include the function in the subset.

5. The system of claim 2, wherein the function includes at least one activity, and wherein the amount of use of the function is based, at least in part, on a number of times the at least one activity is performed per selection of the function.

6. The system of claim 2, wherein the minimum number of selections is normalized over time among the plurality of functions.

7. The system of claim 2, wherein dynamically generating the subset includes removing a function from the subset based, at least in part, on the likelihood.

8. The system of claim 7, wherein the minimum number of selections of the function is compared against a first threshold for adding the function to the subset and a second threshold higher than the first threshold for removing the function from the subset.

9. The system of claim 8, wherein dynamically generating the subset includes removing the function from the subset further based, at least in part, on a user command to remove the function from the subset.

10. The system of claim 1, dynamically generating the subset includes periodically changing the functions of the subset based on a user interaction with the social network.

11. The system of claim 10, wherein the social network is interacted with via the user interface of the mobile device and via a user interface of a computer.

12. A memory device, the memory device communicatively coupled to a processor and comprising instructions which, when performed on the processor, cause the processor to:

display a representation of each of a subset of the plurality of functions, wherein each function of the subset is implementable upon selection of a representation corresponding to the function by a user;

dynamically generate the subset of the plurality of functions based, at least in part, on a likelihood for each of the functions that the user will select a corresponding representation;

wherein the subset is displayed as dynamically generated.

13. The memory device of claim 12, wherein the corresponding likelihood for each function is based on at least one of:

a consistency of selection of a function over time;

an amount of use of the function per selection; and

a minimum number of selections of the function.

14. The memory device of claim 13, wherein the memory device is configured to order the subset for display of the representations based, at least in part, on a weight of the corresponding functions of the subset.

15. The memory device of claim 14, wherein the weight of each function is based on the corresponding likelihood and a user command to include the function in the subset.

16. The memory device of claim 13, wherein the function includes at least one activity, and wherein the amount of use of the function is based, at least in part, on a number of times the at least one activity is performed per selection of the function.

17. The memory device of claim 13, wherein the minimum number of selections is normalized over time among the plurality of functions.

18. The memory device of claim 13, wherein dynamically generating the subset includes removing a function from the subset based, at least in part, on the likelihood.

19. The memory device of claim 18, wherein the minimum number of selections of the function is compared against a first threshold for adding the function to the subset and a second threshold higher than the first threshold for removing the function from the subset.

20. The memory device of claim 19, wherein dynamically generating the subset includes removing the function from the subset further based, at least in part, on a user command to remove the function from the subset.

21. The memory device of claim 12, dynamically generating the subset includes periodically changing the functions of the subset based on a user interaction with the social network.

22. The memory device of claim 21, wherein the social network is interacted with via the user interface of the mobile device and via a user interface of a computer.