Method and Device for Providing a Personal Product Recommendation

• US 20090192808A1
• Filed: 01/28/2008
• Published: 07/30/2009
• Est. Priority Date: 01/28/2008
• Status: Abandoned Application

• Current Assignee: Procompare Com LLC
• Original Assignee: Procompare Inc.
• Inventors: Sela, Mor
• Application Number:
  US12/020,653
• Publication Number:
  US 20090192808A1
• Time in Patent Office: Days
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0603 Catalogue ordering

Abstract

The invention disclosed provides a device and method for recommending at least a product or a plurality of products to a user based at least in part on opinion-based criteria. The invention proceeds by first choosing a plurality of products in a category. At least one product in the category is associated with at least one rating. The rating comprises a rating of a plurality of criteria, and the plurality of criteria comprises opinion-based criteria. In the next step of the method of the invention, a calculation of product recommendability of the plurality of products is made (caused to be made) based on a selection by at least one user of an importance level of a plurality of criteria. Then at least one product recommendation is provided (received) based on the selection by at least one user of an importance level of a plurality of criteria and the opinion-based criteria.

Claims

1. A method of providing a recommendation of at least one product, said method comprising the steps of:

choosing a category comprising a plurality of products, wherein at least one product is associated with at least one rating, and said rating comprises a rating of a plurality of criteria, and said plurality of criteria comprises opinion-based criteria;

calculating product recommendability of said plurality of products based on a selection by at least one user of an importance level of a plurality of criteria; and

providing at least one product recommendation of a product in said category based on said selection and said opinion-based criteria.

2. The method of claim 1, wherein said criteria further comprise functionality-based criteria of said product.

3. The method of claim 1, wherein said at least one rating comprises a plurality of ratings and each rating of said plurality of ratings is provided by an expert.

4. The method of claim 1, wherein said plurality of criteria comprises a plurality of sub-criteria.

5. The method of claim 4, wherein said sub-criteria comprise at least a first sub-criterion with a first weighting and at least a second sub-criterion with a second-weighting.

6. The method of claim 1, wherein said selection by said at least one user comprises a selection by a plurality of users and said step of calculating product recommendability is based on an average selection of said plurality of users.

7. The method of claim 1, wherein said selection by at least one user is a selection by one user and said product recommendation is provided to said one user.

8. The method of claim 1, wherein said calculating product recommendability is calculated using a predefined algorithm.

9. The method of claim 1, wherein said at least one product recommended is a first plurality of products recommended and said user refines said criteria, causing a second plurality of products or one product to be recommended.

10. The method of claim 3, wherein said user is provided with at least a part of at least one expert review associated with said at least one product recommendation.

11. The method of claim 1, wherein said opinion-based criteria comprise cost of operation.

12. A device for providing a recommendation of at least one product, said device configured to:

store information related to a plurality of products in a category, wherein at least one product is associated with at least one rating, and said rating comprises a rating of a plurality of criteria, and said plurality of criteria comprises opinion-based criteria;

calculate product recommendability of said plurality of products based on a selection by at least one user of an importance level of a plurality of criteria; and

recommend at least one product within said category to a user, based on said selection and said opinion-based criteria.

13. The device of claim 12, wherein said criteria further comprise functionality-based criteria of said product.

14. The device of claim 12, wherein said at least one rating comprises a plurality of ratings, and each rating of said plurality of ratings is provided by an expert.

15. The device of claim 12, wherein said plurality of criteria comprises a plurality of sub-criteria.

16. The device of claim 15, wherein said sub-criteria comprise at least a first sub-criterion with a first weighting and at least a second sub-criterion with a second-weighting.

17. The device of claim 12, wherein said selection by said at least one user comprises a selection by a plurality of users and said step of calculating product recommendability is based on an average selection of said plurality of users.

18. The device of claim 12, wherein said selection by at least one user is a selection by one user, and said product recommendation is provided to said one user.

19. The device of claim 12, wherein said calculating product recommendability is calculated using a predefined algorithm.

20. The device of claim 12, wherein said at least one product recommended is a first plurality of products recommended, and said device is configured to accept a refinement of criteria, causing a second plurality of products or one product to be recommended.

21. The device of claim 14, wherein said user is provided with at least a part of an expert review associated with said at least one product recommendation.

22. The device of claim 12, wherein said opinion-based criteria comprise cost of operation.

23. The device of claim 12, wherein said device comprises a computer readable storage medium.