Method and apparatus for providing abstracted user models

• US 9,311,505 B2
• Filed: 09/22/2011
• Issued: 04/12/2016
• Est. Priority Date: 09/22/2011
• Status: Active Grant

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Sathish, Sailesh Kumar, Dousse, Olivier, Laurila, Juha Kalevi, Hmlinen, Jari Pekka
• Primary Examiner(s): Lewis, Lisa
• Assistant Examiner(s): Tsang, Henry
• Application Number:
  US13/240,304
• Publication Number:
  US 20130081099A1
• Time in Patent Office: 1,664 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes

Abstract

An approach is provided for providing abstracted user models in accordance with one or more access policies. A model platform determines an ontology for specifying a hierarchy of one or more abstraction levels for items data used in latent factorization models. The model platform further causes, at least in part, a generation of one or more user models for the one or more abstraction levels. The model platform also causes, at least in part, a selection of at least one of the one or more user models for generating one or more recommendations for one or more applications, one or more services, or a combination thereof based, at least in part, on one or more privacy policies, one or more security policies, or a combination thereof.

Claims

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:

an ontology for specifying a hierarchy of one or more abstraction levels for items data used in latent factorization models;

a generation, by at least one processor implemented in hardware, of one or more user models for the items data corresponding to each abstraction level of the ontology;

a processing of at least one request for one or more recommendations (a) to determine a requested abstraction level, and (b) to determine a privacy level, a security level, or a combination thereof associated with the at least one request;

a processing of the privacy level, the security level, or the combination thereof against one or more privacy policies, one or more security policies, or a combination thereof to determine permission to access the requested abstraction level;

a generation, a retrieval, or a combination thereof of the at least one of the one or more user models based, at least in part, on whether the at least one of the one or more user models exists at the requested abstraction level,

a selection of at least one of the one or more user models for generating the one or more recommendations for one or more applications, one or more services, or a combination thereof based, at least in part, on the one or more privacy policies, the one or more security policies, or the combination thereof; and

wherein the one or more abstraction levels correspond to different levels of the privacy policies and the security policies of the one or more user models.

2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

user interaction information, ratings information, context information, or a combination thereof associated with the at least one device, the at least one user of the at least one device, or a combination thereof; and

a processing of the user interaction information, the ratings information, the context information, or the combination based, at least in part, on the ontology to generate the one or more user models for the one or more abstraction levels.

3. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the at least one request to determine a requested segment of the selected at least one user model; and

a generation, a retrieval, or a combination thereof of the requested segment based, at least in part, on whether the requested segment exists.

4. A method of claim 3, wherein the at least one request includes at least one domain associated with the one or more recommendations, and the requested segment is associated with the at least one domain.

5. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

if permission is not granted, at least one other abstraction level at which permission is granted based, at least in part, on the one or more privacy policies, the one or more security policies, or the combination thereof; and

a notification of the at least one other abstraction level, a generation, a retrieval, or a combination thereof of at least one other user model for the at least one other abstraction level, or a combination thereof.

6. A method of claim 1, wherein the privacy level, the security level, or the combination thereof is based, at least in part, on an originating location of the at least one request, a location of the one or more applications, a location of the one or more services, or a combination thereof.

7. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a generation, a retrieval, or a combination thereof of one or more item models associated with the one or more abstraction levels; and

a selection of at least one of the one or more item models for generating the one or more recommendations based, at least in part, on the one or more privacy policies, the one or more security policies, the selected at least one user model, the requested abstraction level, or a combination thereof.

8. A method of claim 7, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the selected at least one user model, the selected at least one item model, or a combination thereof to generate ratings data for generating the one or more recommendations.

9. A method of claim 1, wherein the selection of at least one of the one or more user models for generating one or more recommendations for one or more applications, one or more services, or a combination thereof is based, at least in part, on one or more security policies.

10. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

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,

determine an ontology for specifying a hierarchy of one or more abstraction levels for items data used in latent factorization models;

generate one or more user models for the items data corresponding to each abstraction level of the ontology;

process at least one request for one or more recommendations (a) to determine a requested abstraction level, and (b) to determine a privacy level, a security level, or a combination thereof associated with the at least one request;

process the privacy level, the security level, or the combination thereof against one or more privacy policies, one or more security policies, or a combination thereof to determine permission to access the requested abstraction level;

generate and/or retrieve the at least one of the one or more user models based, at least in part, on whether the at least one of the one or more user models exists at the requested abstraction level,

select at least one of the one or more user models for generating the one or more recommendations for one or more applications, one or more services, or a combination thereof based, at least in part, on the one or more privacy policies, the one or more security policies, or the combination thereof; and

wherein the one or more abstraction levels correspond to different levels of the privacy policies and the security policies of the one or more user models.

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

determine user interaction information, ratings information, context information, or a combination thereof associated with the at least one device, the at least one user of the at least one device, or a combination thereof; and

process the user interaction information, the ratings information, the context information, or the combination based, at least in part, on the ontology to generate the one or more user models for the one or more abstraction levels.

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

process the at least one request to determine a requested segment of the selected at least one user model; and

generate and/or retrieve the requested segment based, at least in part, on whether the requested segment exists.

13. An apparatus of claim 12, wherein the at least one request includes at least one domain associated with the one or more recommendations, and the requested segment is associated with the at least one domain.

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

determine, if permission is not granted, at least one other abstraction level at which permission is granted based, at least in part, on the one or more privacy policies, the one or more security policies, or the combination thereof; and

cause, at least in part, a notification of the at least one other abstraction level, generate and/or retrieve at least one other user model for the at least one other abstraction level, or a combination thereof.

15. An apparatus of claim 10, wherein the privacy level, the security level, or the combination thereof is based, at least in part, on an originating location of the at least one request, a location of the one or more applications, a location of the one or more services, or a combination thereof.

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

generate and/or retrieve one or more item models associated with the one or more abstraction levels; and

select at least one of the one or more item models for generating the one or more recommendations based, at least in part, on the one or more privacy policies, the one or more security policies, the selected at least one user model, the requested abstraction level, or a combination thereof.

17. An apparatus of claim 16, wherein the apparatus is further caused to:

process the selected at least one user model, the selected at least one item model, or a combination thereof to generate ratings data for generating the one or more recommendations.

18. An apparatus of claim 10, wherein the selection of at least one of the one or more user models for generating one or more recommendations for one or more applications, one or more services, or a combination thereof is based, at least in part, on one or more security policies.