METHOD AND APPARATUS FOR PROVIDING A CONTEXTUAL MODEL BASED UPON USER CONTEXT DATA

• US 20110125743A1
• Filed: 11/23/2009
• Published: 05/26/2011
• Est. Priority Date: 11/23/2009
• Status: Abandoned Application

• Current Assignee: Navteq B.V. (HERE Holding Corporation)
• Original Assignee: Nokia Corporation
• Inventors: IMMONEN, Pekka, Heinonen, Jarkko
• Application Number:
  US12/624,004
• Publication Number:
  US 20110125743A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/29 Geographical information databases

Abstract

An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data of a user from a plurality of sources, and the sources include at least online activities of the user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model.

Claims

1. A method comprising:

collecting context data of a user from a plurality of sources, the sources including at least online activities of the user; and

mapping the collected user context data as context data points into a multidimensional contextual model.

2. The method of claim 1, further comprising:

causing, at least in part, actions that result in reception of a query from the user;

clustering the context data points in the contextual model into contextual clusters;

matching the query with the contextual clusters; and

causing, at least in part, actions that result in transmission of context data of one or more matched contextual clusters to the user.

3. The method of claim 1, further comprising:

collecting context data of a user group from a plurality of sources, the user group including the user as a member;

mapping the collected user group context data into a multidimensional group contextual model;

clustering group context data points in the group contextual model into group contextual clusters;

matching the query with the group contextual clusters; and

causing, at least in part, actions that result in transmission of group context data of one or more matched group contextual clusters to the user.

4. The method of claim 3, further comprising:

extracting a subset of contextual data from the collected user context data or the collected user group context data as special context data;

mapping the collected special context data into a multidimensional special contextual model;

clustering special context data points in the special contextual model into special contextual clusters;

matching the query with the special contextual clusters; and

causing, at least in part, actions that result in transmission of special context data of one or more matched special contextual clusters to the user.

5. The method of claim 4, further comprising:

causing, at least in part, actions that result in reception of predetermined locations defined by the user,

wherein the subset of contextual data are collected form users in the respective predetermined locations.

6. The method of claim 1, wherein the multidimensional model includes at least a location dimension, a time dimension, and a person or social dimension.

7. The method of claim 2, further comprising:

causing, at least in part, actions that result in reception of a partial entry from the user;

querying the contextual clusters for a suggestion of a possible word as being entered or for a correct word as entry based upon the partial entry; and

presenting to the user the possible word or the correct word.

8. An apparatus comprising:

at least one processor; and

at least one memory including computer program code,

wherein the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following;

collect context data of a user from a plurality of sources, the sources including at least online activities of the user; and

map the collected user context data as context data points into a multidimensional contextual model.

9. An apparatus of claim 8, wherein the apparatus is further caused to:

cause, at least in part, actions that result in reception of a query from the user;

cluster the context data points in the contextual model into contextual clusters;

match the query with the contextual clusters; and

cause, at least in part, actions that result in transmission of context data of one or more matched contextual clusters to the user.

10. An apparatus of claim 8, wherein the apparatus is further caused to:

collect context data of a user group from a plurality of sources, the user group including the user as a member;

map the collected user group context data into a multidimensional group contextual model;

clustering group context data points in the group contextual model into group contextual clusters;

match the query with the group contextual clusters; and

cause, at least in part, actions that result in transmission of group context data of one or more matched group contextual clusters to the user.

11. An apparatus of claim 10, wherein the apparatus is further caused to:

extract a subset of contextual data from the collected user context data or the collected user group context data as special context data;

map the collected special context data into a multidimensional special contextual model;

cluster special context data points in the special contextual model into special contextual clusters;

match the query with the special contextual clusters; and

cause, at least in part, actions that result in transmission of special context data of one or more matched special contextual clusters to the user.

12. An apparatus of claim 11, wherein the apparatus is further caused to:

cause, at least in part, actions that result in reception of predetermined locations defined by the user,

wherein the subset of contextual data are collected form users in the respective predetermined locations.

13. An apparatus of claim 8, wherein the multidimensional model includes at least a location dimension, a time dimension, and a person or social dimension.

14. An apparatus of claim 9, wherein the apparatus is further caused to:

cause, at least in part, actions that result in reception of a partial entry from the user;

query the contextual clusters for a suggestion of a possible word as being entered or for a correct word as entry based upon the partial entry; and

present to the user the possible word or the correct word.

15. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to perform at least the following:

collecting context data of a user from a plurality of sources, the sources including at least online activities of the user; and

mapping the collected user context data as context data points into a multidimensional contextual model.

16. A computer-readable storage medium of claim 15, wherein the apparatus is caused to further perform:

causing, at least in part, actions that result in reception of a query from the user;

clustering the context data points in the contextual model into contextual clusters;

matching the query with the contextual clusters; and

causing, at least in part, actions that result in transmission of context data of one or more matched contextual clusters to the user.

17. A computer-readable storage medium of claim 15, wherein the apparatus is caused to further perform:

collecting context data of a user group from a plurality of sources, the user group including the user as a member;

mapping the collected user group context data into a multidimensional group contextual model;

clustering group context data points in the group contextual model into group contextual clusters;

matching the query with the group contextual clusters; and

causing, at least in part, actions that result in transmission of group context data of one or more matched group contextual clusters to the user.

18. A computer-readable storage medium of claim 17, wherein the apparatus is caused to further perform:

extracting a subset of contextual data from the collected user context data or the collected user group context data as special context data;

mapping the collected special context data into a multidimensional special contextual model;

clustering special context data points in the special contextual model into special contextual clusters;

matching the query with the special contextual clusters; and

causing, at least in part, actions that result in transmission of special context data of one or more matched special contextual clusters to the user.

19. A computer-readable storage medium of claim 18, wherein the apparatus is caused to further perform:

causing, at least in part, actions that result in reception of predetermined locations defined by the user,

wherein the subset of contextual data are collected form users in the respective predetermined locations.

20. A computer-readable storage medium of claim 15, wherein the multidimensional model includes at least a location dimension, a time dimension, and a person or social dimension.