METHOD AND SYSTEM FOR INFORMING A USER BY UTILIZING TIME BASED REVIEWS

• US 20110173130A1
• Filed: 01/13/2010
• Published: 07/14/2011
• Est. Priority Date: 01/13/2010
• Status: Abandoned Application

• Current Assignee: Moodhit, Inc.
• Original Assignee: Moodhit, Inc.
• Inventors: Kelly, Jason James, Lasmanis, Michael Philip, Ayhan, Michael, Schaefer, William Benjamin IV, Alan, Leith Leedom, Birchfield, John
• Application Number:
  US12/687,089
• Publication Number:
  US 20110173130A1
• 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

Abstract

A method and system for informing a user by utilizing time based reviews that include collecting a plurality of user reviews. A user review includes business information, a user opinion that includes at least a rating, and time information that relates to the time of user interaction with the business. The method further includes extracting information from the plurality of user reviews based on the interaction time and presenting the extracted information to a user.

Claims

1. A method for informing a user by utilizing time based reviews comprising:

collecting a plurality of user reviews, a review including business information, user opinion, and time information, wherein the user opinion includes a rating, wherein the time information relates to the time of user interaction with the business;

extracting information from the plurality of user reviews based on interaction time; and

presenting the extracted information to a user.

2. The method of claim 1, wherein the business information includes business identity and business location.

3. The method of claim 2, wherein the rating is a relatable metric.

4. The method of claim 3, includes calculating at least one optimized suggestion using elements of user reviews as constraints.

5. The method of claim 4, wherein calculating at least one optimized suggestion further includes collecting location information of a user and identifying a business suggestion by maximizing user opinions while minimizing distance from the user to a business location.

6. The method of claim 4, wherein calculating at least one optimized suggestion further includes identifying a second user that is similar to a first user based on respective ratings of businesses and the time of the ratings and selecting a business from the user reviews of the second user to suggest to the first user.

7. The method of claim 4, wherein calculating at least one optimized suggestion further includes identifying an optimal time suggestion of when to interact with a business.

8. The method of claim 4, wherein the user opinion of a review further includes descriptive tags, and extracting information includes relating user reviews that share common tags.

9. The method of claim 8, further including extracting tags from a user written description included in the user opinion.

10. The method of claim 4, wherein the user opinion of a review further includes tags that describe products of a business.

11. The method of claim 10, wherein calculating at least one optimized suggestion further includes identifying at least one optimal product suggestion for a particular time.

12. The method of claim 10, wherein calculating at least one optimized suggestion further includes identifying a time suggestion for a particular product.

13. The method of claim 10, further comprising:

receiving a query request;

isolating business identified by the query request and calculating a plurality of optimized suggestions from the isolated businesses.

14. The method of claim 13, wherein calculating a plurality of optimized suggestions includes calculating a rating of a business within a defined time period and presenting the businesses in order of rating within the defined time period.

15. The method of claim 13, wherein organizing the optimized suggestion includes organizing the isolated businesses in substantially chronological order of optimal time to interact with the business.

16. The method of claim 4, further comprising creating visual media representations of the extracted information to present to the user.

17. The method of claim 16, wherein the visual media representation is map of user ratings for a defined period time period.

18. The method of claim 16, wherein the visual media representation is a chart with time as a variable of the chart.

19. A system for informing a user by utilizing time based reviews comprising:

a review database that stores a plurality of user reviews collected from a plurality of users;

wherein a user reviews includes;

business information;

user rating; and

time of the user interaction with the associated business;

a data engine that processes the user reviews; and

an interface that communicates processed results of the data engine to a user.