METHOD AND APPARATUS FOR PROVIDING RECOMMENDATIONS BASED ON LOCALLY GENERATED MODELS

• US 20120330777A1
• Filed: 06/27/2011
• Published: 12/27/2012
• Est. Priority Date: 06/27/2011
• Status: Abandoned Application

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Corporation
• Inventors: Sathish, Sailesh Kumar, Hämäläinen, Jari Pekka, Dousse, Olivier, Laurila, Juha Kalevi
• Application Number:
  US13/169,813
• Publication Number:
  US 20120330777A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An approach is provided for recommendations based on locally generated models. The model platform causes, at least in part, a transfer of at least one user model from a device to a recommendation service, wherein the at least one user model is generated on the device. Next, the model platform determines to associate the at least one user model with user profile information. Then, the model platform processes and/or facilitates a processing of the at least one user model, the user profile information, or a combination thereof to generate at least one recommendation.

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:

a transfer of at least one user model from a device to a recommendation service, wherein the at least one user model is generated on the device;

at least one determination to associate the at least one user model with user profile information; and

a processing of the at least one user model, the user profile information, or a combination thereof to generate at least one recommendation.

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:

at least one determination that the at least one user model and one or more other user models have one or more characteristics that are substantially similar;

a processing of the one or more other user models based, at least in part, on the determination of substantial similarity,

wherein the at least one recommendation is further generated based, at least in part, on the processing of the one or more other user models.

3. A method of claim 2, wherein the at least one user model is associated with at least one user of the device and the one or more other user models are associated with one or more other users.

4. 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:

at least one determination of whether at least one user of the device has selected to receive recommendations associated one or more other users,

wherein the at least one recommendation is further generated based, at least in part, on the determination of the selection by the at least one user.

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:

a sharing of the at least one user model to one or more other users.

6. 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 collection of user interaction data, ratings data, context data, or a combination thereof related to;

(a) one or more items, (b) at least one user of the device, (c) one or more other users, or (d) a combination thereof; and

a processing of the collection to generate the at least one user model.

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:

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

at least one determination to update the at least one user model based, at least in part, on the user interaction data, the ratings data, the context data, 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 transfer of the at least one updated user model to the recommendation service based, at least in part, on a triggering condition.

9. 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 the at least one user model, one or more other user models, or a combination thereof to generate one or more typical user models for one or more user segments; and

processing and/or facilitating a processing of the one or more typical user models to generate one or more recommendations for the one or more user segments.

10. A method of claim 1, wherein the at least one user model includes at least one user profile vector, at least one item profile vector, or a combination thereof, and wherein the at least one recommendation is generated based, at least in part, on the least one user profile vector, the at least one item profile vector, or a combination thereof.

11. 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,

cause, at least in part, a transfer of at least one user model from a device to a recommendation service, wherein the at least one user model is generated on the device;

determine to associate the at least one user model with user profile information; and

process and/or facilitate a processing of the at least one user model, the user profile information, or a combination thereof to generate at least one recommendation.

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

determine that the at least one user model and one or more other user models have one or more characteristics that are substantially similar;

process and/or facilitate a processing of the one or more other user models based, at least in part, on the determination of substantial similarity,

wherein the at least one recommendation is further generated based, at least in part, on the processing of the one or more other user models.

13. An apparatus of claim 12, wherein the at least one user model is associated with at least one user of the device and the one or more other user models are associated with one or more other users.

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

determine whether at least one user of the device has selected to receive recommendations associated one or more other users,

wherein the at least one recommendation is further generated based, at least in part, on the determination of the selection by the at least one user.

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

cause, at least in part, sharing of the at least one user model to one or more other users.

16. An apparatus of claim 11, further comprising:

cause, at least in part, collection of user interaction data, ratings data, context data, or a combination thereof related to;

(a) one or more items, (b) at least one user of the device, (c) one or more other users, or (d) a combination thereof and

process and/or facilitate a processing of the collection to generate the at least one user model.

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

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

determine to update the at least one user model based, at least in part, on the user interaction data, the ratings data, the context data, or a combination thereof.

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

cause, at least in part, a transfer of the at least one updated user model to the recommendation service based, at least in part, on a triggering condition.

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

process and/or facilitate a processing the at least one user model, one or more other user models, or a combination thereof to generate one or more typical user models for one or more user segments; and

process and/or facilitate a processing of the one or more typical user models to generate one or more recommendations for the one or more user segments.

20. An apparatus of claim 11, wherein the at least one user model includes at least one user profile vector, at least one item profile vector, or a combination thereof, and wherein the at least one recommendation is generated based, at least in part, on the least one user profile vector, the at least one item profile vector, or a combination thereof.

21-48. -48. (canceled)