Location Based User Behavior Analysis and Applications

• US 20120100869A1
• Filed: 10/21/2011
• Published: 04/26/2012
• Est. Priority Date: 10/25/2010
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alohar Mobile Inc. (Alibaba Group Holding Ltd.)
• Inventors: Liang, Sam Song, Yang, Jun, Wang, Chenyu, Liu, Zhigang
• Granted Patent: US 8,725,569 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Methods, systems and apparatuses for generating a user profile of a mobile device user are disclosed. One method includes tracking user stays of the user over time, wherein the user stays include at least one location, and generating the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the user stays. Another method includes determining a current state of a mobile device user. The method includes tracking locations of user stays of the mobile device user over time, and determining a current state of a mobile device user based on user stays within a predetermined time of a present time, wherein the predetermined time is dependent upon an application of the user device or an observed behavior of a user of the user device.

Claims

1. A method of generating a user profile of a user of a mobile device, comprising:

tracking user stays of the user over time, wherein the user stays include at least one location;

generating the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the user stays.

2. The method of claim 1, further comprising tracking a current state of the user.

3. The method of claim 1, wherein the user profile comprises a history of the user stays of the user.

4. The method of claim 1, wherein the user stay comprises a point of interest the user has visited, an arrival time and a length of time the user stays at the point of interest.

5. The method of claim 1, wherein the user stay comprises an event of interest the user has visited, an arrival time and a length of time the user stays at the point of interest.

6. The method of claim 2, wherein the current state comprises user stays within a predetermined time of a present time, wherein the predetermined time is dependent upon an application of the user device or an observed behavior of a user of the user device.

7. The method of claim 1, further comprising determining route-based information.

8. The method of claim 7, further comprising updating a current state of the user based on the route-based information.

9. The method of claim 7, further comprising predicting future user stays based on the route-based information.

10. The method of claim 7, wherein determining route-based information comprises:

determining a plurality of points of interest, wherein the plurality of points of interest define a trail of interest of the user.

11. The method of claim 1, further comprising providing the user with targeted information base on the user profile.

12. The method of claim 11, wherein the targeted information comprises at least one of coupons, advertisement, notice of events.

13. The method of claim 1, further comprising estimating a likelihood of conversion of targeted advertising based on the user profile.

14. The method of claim 1, further comprising measuring a conversion of targeted advertising based on the user profile.

15. The method of claim 14, further comprising supplementing the user profile based at least in part on websites visited by the user.

16. The method of claim 15, further comprising supplementing the user profile based on information posted by the user on at least one of the websites.

17. The method of claim 15, wherein at least one of the websites comprises a social website.

18. The method of claim 1, further comprising providing the user with at least one suggestion based on identified points of interest.

19. The method of claim 1, further comprising providing the user with at least one suggestion based on at least one predicated future point of interest.

20. The method of claim 19, further comprising modifying a suggestion based on the user location history and user profile.

21. The method of claim 1, further comprising generating a trail of interest based on tracking user stays of the user over time, wherein the user stays include at least one location.

22. The method of claim 21, further comprising using a frequency and/or speed of the user between points of interest to determine a level of importance of the trail.

23. The method of claim 22, wherein the level of importance of trail is included within the user profile.

24. A method of generating a user profile of a mobile device user, comprising:

tracking locations of points of interest of the user over time;

generating the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the points of interest.

25. A method of determining a current state of a mobile device user, comprising:

tracking user stays of the user over time, wherein the user stays include at least one location;

determining a current state of a mobile device user based on user stays within a predetermined time of a present time, wherein the predetermined time is dependent upon an application of the user device or an observed behavior of a user of the user device.

26. A mobile device, comprising:

a plurality of sensors;

a processor operative to receive at least one input from the plurality of sensors, and track locations of user stays of the user over time; and

the processor operative to generate the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the user stays.

27. A wireless system for generating a user profile of a user of a mobile device, comprising:

at least one of a mobile device or a network operative to receive at least one input from the plurality of sensors, and track locations of user stays of the user over time; and

at least one of the mobile device and a server connected to the network operative to generate the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the user stays.

28. A program storage device readable by a machine, tangibly embodying a program of instructions that when downloaded and executed by a mobile device cause the mobile device to perform a method of generating a user profile of a user, comprising:

tracking user stays of the user over time, wherein the user stays include at least one location;

generating the user profile based at least in part on at least one of an arrival time, a time duration or a frequency of visits of the user at each of the user stays.

29. The method of claim 28, wherein the program is downloadable to a mobile device of the user.