RECOMMENDATION SYSTEM AND METHOD OF OPERATION THEREFOR

• US 20090210475A1
• Filed: 02/18/2008
• Published: 08/20/2009
• Est. Priority Date: 02/18/2008
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: WATSON, CRAIG C., GADANHO, SANDRA C.
• Application Number:
  US12/032,752
• Publication Number:
  US 20090210475A1
• Time in Patent Office: Days
• US Class Current: 709/201
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A recommendation system comprises a plurality of recommenders for generating recommendations in accordance with a user preference profile having a recommender specific representation. The recommender specific representation is different for different recommenders and each recommender comprises translation data relating the recommender specific representation to a shared ontology. A recommender comprises a translation unit which generates first user preference data in accordance with the shared ontology in response to a user preference profile and translation data relating the recommender specific representation to the shared ontology. In addition, a confidence indication for at least part of the user preference data is generated. A transmitter transmits the user preference data and the confidence indication to a second recommender. The second recommender may translate the received data into its recommender specific representation and combine the received data with locally generated user preference data. The invention may facilitate and/or improve sharing of user preference data.

Claims

1. A recommendation system comprising:

a plurality of recommenders for generating recommendations in accordance with a user preference profile having a recommender specific representation, the recommender specific representation being different for different recommenders of the plurality of recommenders and each recommender of the plurality of recommenders further comprising translation data relating the recommender specific representation to a shared ontology,

wherein at least a first recommender of the plurality of recommenders comprises;

a translation unit for generating first user preference data represented in accordance with the shared ontology in response to a first user preference profile of the first recommender and first translation data relating a first recommender specific representation of the first user preference profile to the shared ontology; and

a transmitter for transmitting the first user preference data to a second recommender of the plurality of recommenders,

wherein the translation unit is further arranged to generate a confidence indication for at least some of the first user preference data and the transmitter is arranged to transmit the confidence indication to the second recommender.

2. The recommendation system of claim 1 wherein the first user preference profile comprises confidence measures for individual user preference data items of the user preference profile, and the translation unit is arranged to generate the confidence indication in response to the confidence measures.

3. The recommendation system of claim 1 wherein the translation unit is arranged to generate the confidence indication in response to a correspondence between user preference data items of the first user preference profile and categories of the shared ontology.

4. The recommendation system of claim 1 wherein the second recommender comprises:

a receiver for receiving the first user preference data;

a translation unit for generating second user preference data represented in accordance with a recommender specific representation of the second recommender in response to the first user preference data and translation data relating the shared ontology to the recommender specific representation of the second user preference; and

a recommendation unit for generating at least one recommendation in response to the second user preference data.

5. The recommendation system of claim 4 wherein the second recommender is arranged to generate a confidence measure for at least some of the second user preference data in response to the confidence indication, and the recommendation unit is arranged to generate the at least one recommendation in response to the confidence measure.

6. The recommendation system of claim 1 wherein the first user preference data comprises a probability indication for at least one category of the shared ontology;

and the confidence indication comprises an indication of a confidence measure for the probability indication.

7. The recommendation system of claim 1 wherein the user preference profile comprises a probabilistic user preference model.

8. The recommendation system of claim 7 wherein the probabilistic user preference profile comprises a Bayesian network.

9. The recommendation system of claim 1 wherein the first recommender is arranged to adapt a learning user preference model of the user preference profile in response to a user behaviour, and to generate the confidence indication in response to the user behaviour.

10. The recommendation system of claim 9 wherein the first recommender is arranged to determine a confidence measure for at least some user preference data in response to an amount of user behaviour data associated with the at least some user preference data.

11. The recommendation system of claim 1 wherein the first recommender specific representation is not an ontology representation.

12. The recommendation system of claim 1 wherein the shared ontology comprises a plurality of interrelated categories, the first user preference data comprises a user preference value for at least a first category of the plurality of interrelated categories and the confidence indication comprises a confidence measure for the first category.

13. The recommendation system of claim 12 wherein the translation unit is arranged to generate refinement data for the first category in response to the user preference profile and to include the refinement data in the first user preference data for the first category, the refinement data representing a more detailed characterisation of a user preference than represented by the first category.

14. The recommendation system of claim 1 wherein the first recommender is arranged to determine a confidence measure for a user preference data item in response to a degree that the user preference data item is determined from a user input, and the translation unit is arranged to determine the confidence indication in response to the confidence measure.

15. The recommendation system of claim 1 wherein the first recommender is arranged to select at least some of the first user preference data in response to a recommendation characteristic of the second recommender.

16. The recommendation system of claim 1 comprising a server coupled to the plurality of recommenders, the server comprising:

a data store for storing recommendation characteristics for at least the second recommender;

a receiver for receiving the first user preference data from the first recommender;

a filter unit for filtering the first user preference data in response to the recommendation characteristic for the second recommender to generate reduced user preference data; and

a transmitter for transmitting the reduced user preference data to the second recommender.

17. The recommendation system of claim 16 wherein the server is arranged to determine the recommendation characteristic for the second recommender in response to user preference data received from the second recommender.

18. The recommendation system of claim 16 wherein the server is arranged to modify the confidence indication in response to a comparison of user preference data received from the first recommender and user preference data received from the second recommender.

19. The recommendation system of claim 1 further comprising a server for generating a common user preference profile by combining user preference data received from the plurality of recommenders, the user preference data being represented in accordance with the shared ontology and the server being arranged to weight the user preference data in response to the confidence indications.

20. A method of operation for a recommendation system comprising a plurality of recommenders for generating recommendations in accordance with a user preference profile having a recommender specific representation, the recommender specific representation being different for different recommenders of the plurality of recommenders and each recommender of the plurality of recommenders further comprising translation data relating the recommender specific representation to a shared ontology;

the method comprising a first recommender of the plurality of recommenders performing the steps of;

generating first user preference data represented in accordance with the shared ontology in response to a first user preference profile of the first recommender and first translation data relating a first recommender specific representation of the first user preference profile to the shared ontology;

generating a confidence indication for at least some of the first user preference data; and

transmitting the first user preference data and the confidence indication to a second recommender of the plurality of recommenders.