Method and System for Rating Food Items

• US 20140200879A1
• Filed: 01/11/2013
• Published: 07/17/2014
• Est. Priority Date: 01/11/2013
• Status: Abandoned Application

• Current Assignee: Benjamin Sakhai, Brian Sakhai
• Original Assignee: Benjamin Sakhai, Brian Sakhai
• Inventors: Sakhai, Brian, Sakhai, Benjamin
• Application Number:
  US13/739,114
• Publication Number:
  US 20140200879A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

A networked computer system for calculating a rating of a food. The computer system includes a database comprising a plurality of records and a personal computer system. Each record in the database includes a natural language description of a respective food and a rating of the respective food. The database further comprising an index comprising indexed natural language descriptions corresponding to the natural language descriptions in the records. The personal computer system includes an input module configured for receiving a request to calculate a rating for a requested food item and for extracting inputted natural language descriptions of the requested food item in the request. Also included is an input processing module configured for identifying tokens in the inputted natural language descriptions, a query module configured for querying the database; and a rating module configured for calculating the rating for the requested food item based on the query result.

Claims

1. A system for calculating a health-related rating of a food item, comprising:

a database comprising a plurality of records, each record comprising one or more natural language descriptions of a respective food item and a health-related rating of the respective food item; and

a computer system comprising;

an input module configured for receiving an input comprising a request to calculate a health-related rating for a requested food item, the input further comprising one or more inputted natural language descriptions of the requested food item;

an input processing module configured for processing the one or more inputted natural language descriptions to generate one or more processed natural language descriptions;

a query module configured for querying the database based on the one or more processed natural language descriptions; and

a rating module configured for;

receiving a results set from the database in response to the querying; and

calculating the health-related rating for the requested food item based on the results set.

2. The system of claim 1, wherein the results set comprises one or more of the plurality of records indexed by respective ones of the one or more processed natural language descriptions, each of the one or more of the plurality of records comprising a respective assigned health-related rating, and wherein the rating module is configured for calculating the health-related rating for the requested food item based on the respective assigned health-related rating of each of the one or more of the plurality of records in the results set.

3. The system of claim 2, wherein the results set further comprises a respective similarity score for each of the one or more of the plurality of records in the results set, and wherein the rating module is configured for calculating the health-related rating for the requested food item based on the respective assigned health-related rating and the respective similarity score of each of the one or more of the plurality of records in the results set.

4. The system of claim 3, wherein the input further comprises an inputted name of the food item, and each record further comprises a name of the respective food, and wherein the rating module is further configured to boost the similarity score of any record in the results set in which the name in the any record matches the inputted name.

5. The system of claim 1, wherein:

the input processing module is configured for processing the one or more inputted natural language descriptions to generate one or more processed tokens; and

the query module is configured for querying the database based on the one or more processed tokens.

6. The system of claim 5, wherein the input processing module is further configured for processing the one or more inputted natural language descriptions to generate the one or more processed tokens by splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions.

7. The system of claim 5, wherein the input processing module is further configured for processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens; and

removing stop words from the one or more pre-processed tokens to generate the one or more processed tokens.

8. The system of claim 5, wherein the input processing module is further configured for processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens;

removing stop words from the one or more pre-processed tokens to generate one or more intermediate tokens; and

reducing the one or more intermediate tokens to their stems to generate the one or more processed tokens.

9. The system of claim 1,

wherein the computer system further comprises a query results processing module configured for:

receiving the results set from the database in response to the querying;

processing the results set to generate one or more processed results; and

forwarding the one or more processed results to the rating module, and wherein the rating module is configured for;

receiving the one or more processed results from the query results processing module; and

calculating the health-related rating for the requested food item based on the one or more processed results.

10. A method for calculating a health-related rating of a food item, comprising steps of:

receiving an input comprising a request to calculate a health-related rating for a requested food item, the input further comprising one or more inputted natural language descriptions of the requested food item;

processing the one or more inputted natural language descriptions to generate one or more processed natural language descriptions;

querying a database based on the one or more processed natural language descriptions, the database comprising a plurality of records, each record comprising one or more natural language descriptions of a respective food item and a health-related rating of the respective food item;

receiving a results set from the database in response to the querying; and

calculating the health-related rating for the requested food item based on the results set.

11. The method of claim 10, wherein the step of receiving comprises receiving, via a network interface, the input transmitted over a network.

12. The method of claim 10, wherein the step of receiving comprises receiving, via an input module, the input from an input interface.

13. The method of claim 10, wherein the results set comprises one or more of the plurality of records indexed by respective ones of the one or more processed natural language descriptions, each of the one or more of the plurality of records comprising a respective assigned health-related rating, and wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the respective assigned health-related rating of each of the one or more of the plurality of records in the results set.

14. The method of claim 10, wherein the results set further comprises a respective similarity score for each of the one or more of the plurality of records in the results set, and wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the respective assigned health-related rating and the respective similarity score of each of the one or more of the plurality of records in the results set.

15. The method of claim 14, wherein the input further comprises an inputted name of the food item, and each record further comprises a name of the respective food item, and wherein the step of calculating further comprises boosting the similarity score of any record in the results set in which the name in the any record matches the inputted name.

16. The method of claim 10 wherein:

the step of processing comprises processing the one or more inputted natural language descriptions to generate one or more processed tokens; and

the step of querying comprises querying the database based on the one or more processed tokens.

17. The method of claim 16, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions.

18. The method of claim 16, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens; and

removing stop words from the one or more pre-processed tokens to generate the one or more processed tokens.

19. The method of claim 16, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens;

removing stop words from the one or more pre-processed tokens to generate one or more intermediate tokens; and

reducing the one or more intermediate tokens to their stems to generate the one or more processed tokens.

20. The method of claim 10, further comprising a step of processing the results set to generate one or more processed results, wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the one or more processed results.

21. A tangible computer-readable medium comprising software instructions stored thereon that when executed by a computer system cause the computer system to carry out steps of:

receiving an input comprising a request to calculate a health-related rating for a requested food item, the input further comprising one or more inputted natural language descriptions of the requested food item;

processing the one or more inputted natural language descriptions to generate one or more processed natural language descriptions;

querying a database based on the one or more processed natural language descriptions, the database comprising a plurality of records, each record comprising one or more natural language descriptions of a respective food item and a health-related rating of the respective food item, the database further comprising an index of the one or more natural language descriptions in each of the plurality of records;

receiving a results set from the database in response to the querying; and

calculating the health-related rating for the requested food item based on the results set.

22. The tangible computer-readable medium of claim 21,

wherein the results set comprises one or more of the plurality of records indexed by respective ones of the one or more processed natural language descriptions, each of the one or more of the plurality of records comprising a respective assigned health-related rating, and

wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the respective assigned health-related rating of each of the one or more of the plurality of records in the results set.

23. The tangible computer-readable medium of claim 21,

wherein the results set further comprises a respective similarity score for each of the one or more of the plurality of records in the results set, and

wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the respective assigned health-related rating and the respective similarity score of each of the one or more of the plurality of records in the results set.

24. The tangible computer-readable medium of claim 23,

wherein the input further comprises an inputted name of the food item, and each record further comprises a name of the respective food item, and

wherein the step of calculating further comprises boosting the similarity score of any record in the results set in which the name in the any record matches the inputted name.

25. The tangible computer-readable medium of claim 21 wherein:

the step of processing comprises processing the one or more inputted natural language descriptions to generate one or more processed tokens; and

the step of querying comprises querying the database based on the one or more processed tokens.

26. The tangible computer-readable medium of claim 25, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions.

27. The tangible computer-readable medium of claim 25, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens; and

removing stop words from the one or more pre-processed tokens to generate the one or more processed tokens.

28. The tangible computer-readable medium of claim 25, wherein the step of processing further comprises processing the one or more inputted natural language descriptions to generate the one or more processed tokens by:

splitting the one or more inputted natural language descriptions at one or more space characters in the one or more inputted natural language descriptions to generate one or more pre-processed tokens;

removing stop words from the one or more pre-processed tokens to generate one or more intermediate tokens; and

reducing the one or more intermediate tokens to their stems to generate the one or more processed tokens.

29. The tangible computer-readable medium of claim 21,

wherein the software instructions stored on the tangible computer-readable medium, when executed by the computer system, further cause the computer system to carry out a step of processing the results set to generate one or more processed results, and

wherein the step of calculating comprises calculating the health-related rating for the requested food item based on the one or more processed results.