SYSTEM AND METHOD FOR THE AUTOMATED FILTERING OF REVIEWS FOR MARKETABILITY

• US 20100125531A1
• Filed: 11/19/2009
• Published: 05/20/2010
• Est. Priority Date: 11/19/2008
• Status: Abandoned Application

• Current Assignee: PaperG, Inc. (WalMart Inc.)
• Original Assignee: PaperG, Inc. (WalMart Inc.)
• Inventors: WONG, VICTOR K.
• Application Number:
  US12/622,384
• Publication Number:
  US 20100125531A1
• Time in Patent Office: Days
• US Class Current: 705/347
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A method for generating marketing materials using filtered reviews including the step of receiving a set of reviews for a business and filtering the reviews into a set of reviews containing a quantitative rating and a set of reviews without such a rating. The method further includes determining a set of reviews containing quantitative ratings that exceed a quantitative threshold. The method further semantically filters these reviews along with the set of reviews without a quantitative rating to generate a set of reviews that exceed a semantic threshold of satisfaction for the business. The method then ranks these reviews based on quantitative rating, and further ranks the reviews based on semantic analysis. Reviews include professional reviews, user-generated reviews, aggregate ratings, commentary, rankings, etc. Marketing materials include print advertisements, online advertisements, brochures, pamphlets, websites, flyers, videos, etc.

Claims

1. A method comprising:

a) receiving a set of reviews of a topic;

b) filtering reviews in said set of reviews based upon filtering criteria to generate a set of filtered reviews; and

c) generating a report based upon filtered reviews in said set of filtered reviews.

2. The method of claim 1, wherein said filtering comprises semantic filtering and/or quantitative filtering.

3. The method of claim 1, wherein said filtering is semantic filtering and said filtering criteria comprises filtering based on keywords, phrases, and/or sentiments.

4. The method of claim 2, wherein said semantic filtering comprises filtering reviews exceeding a pre-defined semantic threshold.

5. The method of claim 1, wherein said filtering is quantitative filtering and said filtering criteria comprises identifying reviews exceeding a pre-defined quantitative threshold.

6. The method of claim 5, wherein said reviews are those with quantitative ratings.

7. The method of claim 6, wherein said quantitative rating is one of a numerical rating or a symbol indicative of a numerical rating.

8. The method of claim 1, further comprising prioritizing and/or ranking said filtered reviews based upon said filtering criteria.

9. The method of claim 8, wherein said filtered reviews include those having undergone semantic filtering.

10. The method of claim 9, wherein filtering criteria for those reviews having undergone semantic filtering comprises filtering based on keywords, phrases, and/or sentiments.

11. The method of claim 8, wherein said filtered reviews include those having undergone quantitative filtering.

12. The method of claim 11, wherein filtering criteria for those reviews having undergone quantitative filtering comprises comparing the numerical ratings of the reviews based on a standardized scale.

13. The method of claim 12, wherein said standardized scale comprises converting different rating scales to a uniform scale for ease of comparison.

14. The method of claim 1, further comprising generating an excerpt of reviews in said set of filtered reviews.

15. The method of claim 14, wherein said generating an excerpt aims to find a portion of the review that portrays the business most favorably.

16. The method of claim 1, wherein said reviews in said set of reviews comprise professional reviews, user-generated reviews, aggregate ratings, commentary, and rankings.

17. The method of claim 1, wherein said topic is selected from the group consisting of a business, an organization, a product, a creative work, a service, a person or an event.

18. The method of claim 1, wherein said report comprises marketing materials concerning said business.

19. The method of claim 18, wherein said marketing materials comprise a print advertisement, a online advertisement, a brochure, a pamphlet, a website, a flyer or a video.

20. A system comprising a processor that performs a method that includes:

a) receiving a set of reviews of a topic;

b) filtering reviews in said set of reviews based upon filtering criteria to generate a set of filtered reviews; and

c) generating a report based upon filtered reviews in said set of filtered reviews.

21. A computer readable storage medium having stored therein instructions that are executable by a processor for performing a method comprising.

a) receiving a set of reviews of a topic;

b) filtering reviews in said set of reviews based upon filtering criteria to generate a set of filtered reviews; and

c) generating a report based upon filtered reviews in said set of filtered reviews.