DETERMINING A LIKELIHOOD OF SUITABILITY BASED ON HISTORICAL DATA

• US 20120030060A1
• Filed: 07/28/2011
• Published: 02/02/2012
• Est. Priority Date: 07/28/2010
• Status: Abandoned Application

• Current Assignee: True Fit Corp.
• Original Assignee: True Fit Corp.
• Inventors: Lu, Zhidong, Stauffer, John
• Application Number:
  US13/192,576
• Publication Number:
  US 20120030060A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Some embodiments of the invention determine whether a particular item is likely to suit a consumer from a fit and/or style standpoint, using objective data produced as a result of the consumer'"'"'s experiences. For example, some embodiments of the invention analyze information regarding a consumer'"'"'s experiences with certain products (e.g., purchase and return history, identification of “favorite” items, etc.) and data regarding attributes of those items (e.g., technical dimension data, stylistic and fit attributes, etc.) to determine the consumer'"'"'s measurements and fit and/or style preferences, so that a prediction may be made regarding how a particular size of an item may suit the consumer.

Claims

1. A method of determining a likelihood that a subject item will suit a subject consumer in a dimension, the method comprising:

(A) receiving data describing previous experiences by the subject consumer with each of a plurality of items, each of the plurality of items and the subject item being susceptible to characterization along a dimension, the dimension having a plurality of possible values;

(B) receiving data indicating a value for the dimension for each of the plurality of items;

(C) based at least in part on the data received in (A) describing previous experiences with each of the plurality of items and in (B) indicating a value for the dimension for each of the plurality of items, determining whether an item exhibiting a value for the dimension is likely to suit the consumer; and

(D) based at least in part on the value for the dimension for the subject item and the determination in (C), determining whether the subject item is likely to suit the subject consumer along the dimension.

2. The method of claim 1, wherein (C) comprises determining a probability that an item exhibiting a value for the dimension will suit the consumer, and wherein (D) comprises comparing the value for the dimension for the subject item to the probability determined for the value in (C) to determine a probability that the subject item will suit the subject consumer along the dimension.

3. The method of claim 1, wherein the dimension is a size, and (D) comprises determining whether the subject item'"'"'s size along the dimension is likely to suit the subject consumer.

4. The method of claim 1, wherein the dimension comprises one or more of a target age range or ease of fit, and (D) comprises determining whether the subject item'"'"'s target age range and/or ease of fit is likely to suit the subject consumer.

5. The method of claim 1, wherein the data received in (A) comprises data describing the subject consumer'"'"'s previous purchases and/or returns of each of the plurality of items.

6. The method of claim 1, wherein the data received in (A) comprises an indication by the subject consumer that at least one of the plurality of items is a favorite of the consumer'"'"'s.

7. The method of claim 1, wherein the determining in (C) comprises assigning greater importance to one or more experiences, described in the data received in (A), by the subject consumer with one of the plurality of items than other experiences by the subject consumer with one of the plurality of items.

8. The method of claim 1, wherein the subject item is an item of apparel or a pair of shoes.

9. The method of claim 1, wherein the determining in (C) comprises generating a model of the consumer'"'"'s measurements, body shape, fit preferences and/or style preferences.

10. At least one computer readable storage medium having instructions encoded thereon which, when executed, perform a method comprising:

(A) receiving a request for a recommendation of a size of a particular item that will suit a consumer;

(B) analyzing data describing the consumer'"'"'s previous experiences with each of a plurality of items and data describing at least one characteristic of each of the plurality of items to identify a size of the particular item that will suit the consumer; and

(C) provide a recommendation specifying the size of the particular item identified in (B).

11. The at least one computer readable storage medium of claim 10, wherein the data describing the consumer'"'"'s previous experiences with each of the plurality of items comprises describing the consumer'"'"'s previous purchases and/or returns of each of the plurality of items.

12. The at least one computer readable storage medium of claim 10, wherein the data describing the consumer'"'"'s previous experiences with each of the plurality of items comprises an indication by the consumer that at least one of the plurality of items is a favorite of the consumer'"'"'s.

13. The at least one computer readable storage medium of claim 10, wherein the analyzing in (B) comprises assigning greater importance to an experience by the consumer with one of the plurality of items than another experience by the consumer with one of the plurality of items.

14. The at least one computer readable storage medium of claim 10, wherein the analyzing in (B) comprises determining how various sizes of the particular item will suit the consumer along each of a plurality of dimensions.

15. The at least one computer readable storage medium of claim 10, wherein the particular item is an item of apparel or a pair of shoes.

16. A system, comprising:

at least one storage repository, storing;

first data describing previous experiences by each of a plurality of consumers with a plurality of items; and

second data characterizing each of the plurality of items along each of a plurality of dimensions, each dimension having a plurality of possible values, the second data comprising a value for each of the plurality of items along each of the plurality of dimensions;

at least one controller operable to access the first and second data stored by the at least one storage repository to determine whether an item is likely to suit one of the plurality of consumers along at least one of the plurality of dimensions.

17. The system of claim 16, wherein the at least one controller is operable to determine a probability that the item is likely to suit one of the plurality of consumers along at least one of the plurality of dimensions.

18. The system of claim 16, further comprising a facility operable to receive, from a first consumer of the plurality of consumers, an indication of the first consumer'"'"'s physical attributes.

19. The system of claim 16, further comprising a facility operable to receive, from a first consumer of the plurality of consumers, an indication that one or more of the plurality of items suit the first consumer well along one or more of the plurality of dimensions.

20. The system of claim 16, further comprising a facility for soliciting information from one or more of the plurality of consumers regarding how one or more of the plurality of items suit the one or more consumers along one or more dimensions.