SYSTEM AND METHOD FOR PROVIDING A PERSONALIZED SHOPPING ASSISTANT FOR ONLINE COMPUTER USERS

• US 20100318425A1
• Filed: 06/12/2009
• Published: 12/16/2010
• Est. Priority Date: 06/12/2009
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Gupta, Sapana, Karanjia, Meherzad Ratan, Sasidharan, Rashmi
• Application Number:
  US12/483,910
• Publication Number:
  US 20100318425A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

A system and method for providing a personalized shopping assistant for online computer users is disclosed. A particular embodiment includes prompting for personalized profile data related to a consumer; associating the personalized profile data with one or more item feature sets; using the one or more item feature sets to qualify a search performed on an item listing database to produce filtered search results; and presenting the filtered search results to a user.

Claims

1. A method, including:

prompting for personalized profile data related to a consumer;

associating the personalized profile data with one or more item feature sets;

using the one or more item feature sets to qualify a search performed on an item listing database to produce filtered search results; and

presenting the filtered search results to a user.

2. The method of claim 1, wherein the personalized profile data includes at least one type of data from a group including:

data describing a consumer'"'"'s needs, data describing a consumer'"'"'s personality, data describing a consumer'"'"'s demographics, data describing a consumer'"'"'s shopping attitude, and data describing a consumer'"'"'s budget.

3. The method of claim 1, wherein the item listing database lists items from at least one type of listings in a group including:

a product and a service.

4. The method of claim 1 wherein associating the personalized profile data with one or more item feature sets includes mapping consumer responses to item feature sets maintained in a database.

5. The method of claim 1, including grouping the result data according to a personalized profile data identifier.

6. The method of claim 1, further including:

receiving a rating from the user pertaining to the filtered search results; and

further filtering the filtered search results according to the rating.

7. The method of claim 1, further including:

associating an advertisement from a third party pertaining to personalized profile data; and

providing the advertisement to a user interface of the user.

8. The method of claim 1, including selectively providing at least a portion of the personalized profile data associated with the user to another user based on one or more rules.

9. The method of claim 1, including selectively updating the filtered search results based on receiving new data associated with the personalized profile data.

10. A system, comprising:

a personalized profile module to prompt for personalized profile data related to a consumer;

a filtering module to associate the personalized profile data with one or more item feature sets, and to use the one or more item feature sets to qualify a search performed on an item listing database to produce filtered search results; and

a user interface module to present the filtered search results to a user.

11. The system of claim 10, wherein the personalized profile data includes at least one type of data from a group including:

data describing a consumer'"'"'s needs, data describing a consumer'"'"'s personality, data describing a consumer'"'"'s demographics, data describing a consumer'"'"'s shopping attitude, and data describing a consumer'"'"'s budget.

12. The system of claim 10, wherein the item listing database lists items from at least one type of listings in a group including:

a product and a service.

13. The system of claim 10, wherein associating the personalized profile data with one or more item feature sets includes mapping consumer responses to item feature sets maintained in a database.

14. The system of claim 10, being further configured to group the filtered search results according to a personalized profile data identifier.

15. The system of claim 10, being further configured to:

receive a rating from the user pertaining to the filtered search results; and

further filter the filtered search results according to the rating.

16. The system of claim 10, being further configured to:

associate an advertisement from a third party pertaining to personalized profile data; and

provide the advertisement to a user interface of the user.

17. The system of claim 10, being further configured to selectively provide at least a portion of the personalized profile data associated with the user to another user based on one or more rules.

18. The system of claim 10, being further configured to selectively update the filtered search results based on receiving new data associated with the personalized profile data.

19. A machine-readable medium embodying instructions which, when executed by a machine, cause the machine to:

prompt for personalized profile data related to a consumer;

associate the personalized profile data with one or more item feature sets;

use the one or more item feature sets to qualify a search performed on an item listing database to produce filtered search results; and

present the filtered search results to a user.

20. The machine-readable medium of claim 19, wherein the personalized profile data includes at least one type of data from a group including:

data describing a consumer'"'"'s needs, data describing a consumer'"'"'s personality, data describing a consumer'"'"'s demographics, data describing a consumer'"'"'s shopping attitude, and data describing a consumer'"'"'s budget.

21. A method, including:

querying a consumer for personalized profile data related to the consumer;

retrieving information associating the personalized profile data with one or more item feature sets;

using the information to qualify a search performed on an item listing database to produce filtered search results; and

presenting the filtered search results to a user.

22. The method of claim 21, wherein the personalized profile data includes at least one type of data from a group including:

data describing a consumer'"'"'s needs, data describing a consumer'"'"'s personality, data describing a consumer'"'"'s demographics, data describing a consumer'"'"'s shopping attitude, and data describing a consumer'"'"'s budget.