Aesthetic profile collection

• US 7,228,283 B1
• Filed: 04/05/2000
• Issued: 06/05/2007
• Est. Priority Date: 04/05/2000
• Status: Expired due to Fees

• Current Assignee: David Hornstein
• Original Assignee: David Hornstein
• Inventors: Hornstein, David
• Primary Examiner(s): Millin; Vincent
• Assistant Examiner(s): CHARLES, DEBRA F
• Application Number:
  US09/543,868
• Time in Patent Office: 2,617 Days
• Field of Search: 604/396, 604/358, 707/3, 707/10, 707/104.1, 211/175, 211/59.1, 211/59.2, 248/231.61, 312/334.5, 312/219, 312/334.44, 358/1.18, 428/195, 705/59, 705/10, 705/14, 705/26, 705/27, 156/277, 206/806, 283/67, 283/70, 424/401
• US Class Current: 705/7.32
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A system for selecting products is described. The system includes a computer executing a process to retrieve a product aesthetic tag associated with a particular product type selected by a customer. The aesthetic tag contains values that represent aesthetic features of the product and a process to form a result tag that contains a value corresponding to how well aesthetic features of the product match to aesthetic preferences of the customer.

Claims

1. A method for selecting products that occurs over a networked computer system comprising:

providing a plurality of images stored on a storage device, wherein each image has a grade associated with each aesthetic characteristic in a set of predetermined aesthetic characteristics;

sending a user a web page that has;

a plurality of test images selected from the plurality of images;

one or more questions that request the user'"'"'s preferences for the test images presented; and

receiving from a user a set of responses from the questions; and

based on the user'"'"'s responses, producing a profile of the user'"'"'s preferences for the aesthetic characteristics in the plurality of test images.

2. The method of claim 1 wherein producing further comprises:

compiling an aesthetic profile tag for the user based on the received responses.

3. The method of claim 1 further comprising:

retrieving a product aesthetic tag associated with a particular product type selected by the user, the product aesthetic tag representing one or more aesthetic features of the product;

forming a result tag that contains a value corresponding to how well aesthetic features of the product match to aesthetic preferences of the customer.

4. The method of claim 1 wherein the user is presented with a graphical user interface that contains questions that elicit the information from the user including questions that gauge the user'"'"'s preferences for the plurality of test images selected from the plurality of images.

5. The method of claim 1 wherein at least one of the questions presented to the user asks the user to indicate the strength of the user'"'"'s preferences for an image on a scale.

6. The method of claim 1 wherein web page includes a control for the user to enter a value corresponding to how the user rates one or more of the test images.

7. The method of claim 3 further comprising:

rank ordering the result tags.

8. The method of claim 7 further comprising:

presenting the user with the products corresponding to the rank ordered result tags.

33. The method of claim 1 wherein one or more of the plurality of images selected from the plurality of test images is selected to emphasize a particular aesthetic characteristic in the set of predetermined aesthetic characteristics.

34. The method of claim 1 wherein the set of predetermined aesthetic characteristics comprises one or more of:

form, material, decoration, overall appearance, and novelty.

35. The method of claim 1 wherein the grade represent a level of intensity of an aesthetic characteristic.

9. A method executed on a computing device for producing an aesthetic profile tag for a user comprises:

viewing, on a display associated with the computing device, set of test images selected from a plurality of images, wherein each of the plurality of images has a grade associated with a plurality of aesthetic characteristics that are expressed in the respective image; and

entering, on a user input device associated with the computing device, preferences for the selected test images.

10. The method of claim 9 wherein the predetermined set of aesthetic characteristics include at least one of:

form, material, decoration, overall appearance, and novelty.

11. The method of claim 9 wherein each aesthetic characteristic is graded into one of three levels.

12. A computer program product for establishing a user profile of aesthetic preferences, said computer program product residing on a computer readable medium comprises instructions for causing a computer to:

transmit to a user over a networked computer system a set of test images selected from a plurality of images, wherein each image has a grade associated with each aesthetic characteristic in a set of predetermined aesthetic characteristics;

receive from a user responses for preferences for said aesthetic characteristics expressed in said set of test images, wherein the computer program product produces a graphical user interface that contains questions that elicit information from the user regarding the user'"'"'s preferences for aesthetic characteristics expressed in said set of images.

13. The computer program product of claim 12 further comprising instructions to:

compile an aesthetic profile tag for the user based on the received responses for the aesthetic characteristics expressed in said set of test images.

14. A system for selecting products, said system comprising:

a computer;

a storage device comprising a plurality of images, wherein each image has a grade associated with a plurality of aesthetic characteristics embodied in the image;

a computer program product residing on a computer readable medium comprising instructions for causing the computer to;

display one or more images selected from the plurality of test images;

receive from a user responses for preferences for aesthetic characteristics embodied in the displayed images that correspond to aesthetic features of products, wherein the computer program product produces a graphical user interface that contains questions that illicit the information from the user.

15. A method executed on a computing device for determining user aesthetic preferences, the method comprising:

selecting a set of test images from a plurality of images to present to a user, wherein each of the plurality of test images has a grade associated with each aesthetic characteristic in a predetermined set of aesthetic characteristics;

presenting said set of test images to a user,

receiving input from the user indicating the user'"'"'s preferences for one or more aesthetic characteristics expressed in one or more of the images in the set of test images; and

establishing with the computing device an aesthetic profile for the user based on the user'"'"'s input.

16. The method of claim 15, wherein one or more images in the set of test images are selected to emphasize a particular aesthetic characteristic.

17. The method of claim 15, wherein the predetermined set of aesthetic characteristics comprises one or more of:

form, material, decoration, overall appearance, and novelty.

18. The method of claim 15, wherein presenting a set of images to the user further comprises:

presenting the user with a scale in which to indicate the strength of the user'"'"'s preferences for one or more images presented in the set of test images.

19. The method of claim 15, wherein the input from the user indicating the user'"'"'s preferences for one or more aesthetic characteristics expressed in of one or more images in the set of images comprises the user'"'"'s selection of an image from the set of test images.

20. The method of claim 15, wherein said selecting further comprises:

selecting a plurality of sets of test images to a user, wherein each set of images emphasizes an aesthetic characteristic or combination of aesthetic characteristic.

21. The method of claim 20, further comprising:

determining whether the user has given consistent responses to an aesthetic characteristic or combination of aesthetic characteristics emphasized in said plurality of sets of images; and

if a consistent response has been given, storing a profile tag indicating the user'"'"'s preference for the aesthetic characteristic or combination of aesthetic characteristics emphasized in one or more sets of images.

22. A method executed on a computing device for determining a product profile of a product, the method comprising the steps of:

viewing a product;

grading each aesthetic characteristic in a set of predetermined aesthetic characteristics of the product on a scale to produce a grade; and

storing on a storage device in communication with said computer device the grade in a field corresponding to the graded aesthetic characteristics within the product profile.

23. The method of claim 22 further comprising:

viewing one or more electronic images of the product.

24. The method of claim 22, further comprising:

grading the aesthetic characteristics of the product on a plurality of scales; and

storing the grades in a plurality of fields in a product profile, wherein each field in the product profile corresponds to an aesthetic characteristic.

25. A computer-implemented method for selecting products that occurs over a networked computer system comprising:

retrieving a first user'"'"'s profile, wherein the first user'"'"'s profile comprises one or more tags which correspond to the first user'"'"'s preferences for one or more aesthetic characteristics of products;

retrieving a second, different user'"'"'s profile, wherein the second user'"'"'s profile comprises one or more tags which correspond to the second user'"'"'s preferences for one or more aesthetic characteristics of products; and

combining the first and second users'"'"' profile to create a composite profile of the first and second user.

26. The method of claim 25, wherein the step of combining the first and second users'"'"' profile comprises:

combining a tag contained in the first user profile associated with an aesthetic characteristic with a tag contained in the second user profile associated with the same aesthetic characteristic; and

storing the combined tag in the composite profile.

27. The method of claim 26, wherein the step of combining a tag contained in the first and second users'"'"' profile comprises:

averaging a value associated with the tag contained in the first user profile with a value associated with the tag contained in the second user profile.

28. The method of claim 26, wherein the step of combining a tag contained in the first and second users'"'"' profile comprises:

assigning a weight factor to a value associated with a tag contained in the first user profile associated with an aesthetic characteristic;

assigning a weight factor to a value associated with a tag contained in the second user profiled associated with the same aesthetic characteristic; and

averaging the weighted values of the tags in the first and second users'"'"' associated with the same aesthetic characteristic.

29. The method of claim 26, further comprising:

receiving input from the first user indicating how the first and second users'"'"' profile should be combined.

30. The method of claim 26 further comprising:

presenting the first or second user with one or more questions to determine how the first and second users'"'"' profile should be combined.

31. The method of claim 25, wherein the first user profile includes one or more tags which correspond to the first user'"'"'s preferences for one or more non-aesthetic characteristics of products.

32. The method of claim 31, wherein the non-aesthetic preferences include at least one of desired price range, brand preference, vendor preference, or product availability.