Method for Personalized Shopping Recommendations

• US 20140047101A1
• Filed: 08/09/2012
• Published: 02/13/2014
• Est. Priority Date: 08/09/2012
• Status: Abandoned Application

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Nix, William, O'Connor, Clint H., Haze, Michael, Lo, Yuan-Chang
• Application Number:
  US13/570,495
• Publication Number:
  US 20140047101A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A system, method, and computer-readable medium are disclosed for providing personalized recommendations based upon a user'"'"'s system profile and usage. A personalized recommendation system receives a first set of input data and a second set of input data, the first set of input data comprising traditional recommendation input data and the second set of input data comprising recommendation input data associated with the profile and usage of a user'"'"'s system. The first and second sets of input data are then processed to generate and provide a personalized recommendation.

Claims

1. A computer-implementable method for providing personalized recommendations, comprising:

receiving a first set of input data comprising recommendation input data associated with the profile and usage of a system associated with a user;

processing the first set of input data to generate personalized recommendation data; and

providing the personalized recommendation data.

2. The method of claim 1, wherein the first set of input data comprises at least one of the set of:

data associated with the user'"'"'s system hardware configuration;

data associated with the user'"'"'s system hardware capabilities;

data associated with the user'"'"'s software usage;

data associated with purchases and ratings from users with similar system profiles and usage;

data associated with software installed on the user'"'"'s system;

data associated with the user'"'"'s hardware usage; and

data associated with peripherals attached to the user'"'"'s system.

3. The method of claim 1, wherein the first set of input data comprises a system and usage profile associated with the user'"'"'s system, the system and usage profile received from at least one of the set of:

a system and usage profiler system, and

a system and usage profiler agent associated with the user'"'"'s system.

4. The method of claim 3, wherein the system and usage profile is received over a network connection.

5. The method of claim 1, wherein:

a second set of input data is received; and

the first and second set of input data are processed to generate the personalized recommendation data, the second set of input data comprising at least one of the set of;

data associated with the user'"'"'s past searches;

data associated with the user'"'"'s past purchases;

data associated with the user'"'"'s product ratings;

data associated with other user'"'"'s purchases and ratings;

data associated with the user'"'"'s customer segment;

data associated with purchases and rating from users within the user'"'"'s customer segment;

data associated with purchases and ratings from users within the user'"'"'s social network; and

data associated with the user'"'"'s preference profile.

6. The method of claim 1, wherein the provision of the personalization recommendation data comprises at least one of the set of:

displaying the personalization recommendation data within a window of a user interface associated with the user'"'"'s system; and

providing the personalization recommendation data as a service.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for;

receiving a first set of input data comprising recommendation input data associated with the profile and usage of a system associated with a user;

processing the first set of input data to generate personalized recommendation data; and

providing the personalized recommendation data.

9. The system of claim 7, wherein the first set of input data comprises a system and usage profile associated with the user'"'"'s system, the system and usage profile received from at least one of the set of:

a system and usage profiler system, and

a system and usage profiler agent associated with the user'"'"'s system.

10. The system of claim 9, wherein the system and usage profile is received over a network connection.

11. The system of claim 7, wherein.

a second set of input data is received;

and

the first and second set of input data are processed to generate the personalized recommendation data, the second set of input data comprising at least one of the set of;

data associated with the user'"'"'s past searches;

data associated with the user'"'"'s past purchases;

data associated with the user'"'"'s product ratings;

data associated with other user'"'"'s purchases and ratings;

data associated with the user'"'"'s customer segment;

data associated with purchases and rating from users within the user'"'"'s customer segment;

data associated with purchases and ratings from users within the user'"'"'s social network; and

data associated with the user'"'"'s preference profile.

12. The system of claim 7, wherein the provision of the personalization recommendation data comprises at least one of the set of:

displaying the personalization recommendation data within a window of a user interface associated with the user'"'"'s system; and

providing the personalization recommendation data as a service.

8. The system 7, wherein the first set of input data comprises at least one of the set of:

data associated with the user'"'"'s system hardware configuration;

data associated with the user'"'"'s system hardware capabilities;

data associated with the user'"'"'s software usage;

data associated with purchases and ratings from users with similar system profiles and usage;

data associated with software installed on the user'"'"'s system;

data associated with the user'"'"'s hardware usage; and

data associated with peripherals attached to the user'"'"'s system.

13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

receiving a first set of input data comprising recommendation input data associated with the profile and usage of a system associated with a user;

processing the first set of input data to generate personalized recommendation data; and

providing the personalized recommendation data.

14. The non-transitory, computer-readable storage medium of claim 13, wherein the first set of input data comprises at least one of the set of:

data associated with the user'"'"'s system hardware configuration;

data associated with the user'"'"'s system hardware capabilities;

data associated with the user'"'"'s software usage;

data associated with purchases and ratings from users with similar system profiles and usage;

data associated with software installed on the user'"'"'s system;

data associated with the user'"'"'s hardware usage; and

data associated with peripherals attached to the user'"'"'s system.

15. The non-transitory, computer-readable storage medium of claim 13, wherein the first set of input data comprises a system and usage profile associated with the user'"'"'s system, the system and usage profile received from at least one of the set of:

a system and usage profiler system, and

a system and usage profiler agent associated with the user'"'"'s system.

16. The non-transitory, computer-readable storage medium of claim 15, wherein the system and usage profile is received over a network connection.

17. The non-transitory, computer-readable storage medium of claim 13, wherein:

a second set of input data is received; and

the first and second set of input data are processed to generate the personalized recommendation data, the second set of input data comprising at least one of the set of;

data associated with the user'"'"'s past searches;

data associated with the user'"'"'s past purchases;

data associated with the user'"'"'s product ratings;

data associated with other user'"'"'s purchases and ratings;

data associated with the user'"'"'s customer segment;

data associated with purchases and rating from users within the user'"'"'s customer segment;

data associated with purchases and ratings from users within the user'"'"'s social network; and

data associated with the user'"'"'s preference profile.

18. The non-transitory, computer-readable storage medium of claim 13,

wherein the provision of the personalization recommendation data comprises at least one of the set of:

displaying the personalization recommendation data within a window of a user interface associated with the user'"'"'s system; and

providing the personalization recommendation data as a service.