Recipe identification method and apparatus

• US 9,690,850 B2
• Filed: 08/14/2015
• Issued: 06/27/2017
• Est. Priority Date: 08/14/2014
• Status: Active Grant

• Current Assignee: Myfitnesspal Incorporated
• Original Assignee: Under Armour Incorporated
• Inventors: Radcliffe, Paul
• Primary Examiner(s): Baker, Charlotte M
• Application Number:
  US14/826,235
• Publication Number:
  US 20160188712A1
• Time in Patent Office: 683 Days
• Field of Search: 704245, 704 7, 707770, 707771, 707722, 707999003, 707E17014, 715776, 705 1453, 705 268, 708133
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates

Abstract

Disclosed embodiments include apparatus, method and storage medium associated with recipe identification. In embodiments, an apparatus may include a recipe identification function configured to receive or retrieve a text document, analyze the text document to identify a recipe, and return the identified recipe. Other embodiments may be described and claimed.

Claims

1. A method comprising:

at a server device, receiving first formatted recipe data from a client device in communication with the server device, the first formatted recipe data comprising at least a plurality of words relating to a recipe;

analyzing individual ones of the words relating to the recipe data to determine whether each may be found within one of three databases of known words, the three databases comprising;

a database of known ingredient-related words, a database of known measurement-related words, and a database of known direction-related words;

extracting nutrition information associated with at least the individual ones of the words relating to the recipe data as being found within the database of known ingredient-related words;

organizing the extracted nutrition information and the characterized individual ones of the words relating to the recipe data into a second formatted recipe data; and

providing the second formatted recipe data from the server device to the client device for nutrition logging performed thereat.

2. The method of claim 1, wherein the database of known ingredient-related words comprises a list of all words known to be related to ingredients or nutrient information of food and beverages, wherein the database of known measurement-related words comprises a list of all words known to be related to measurements of food and beverages and/or serving sizes for food and beverages, and wherein the database of known direction-related words comprises a list of all words known to be related to preparation techniques for food and beverages.

3. The method of claim 1, wherein the act of organizing comprises organizing the second formatted recipe data such that the individual ones of the words found in the ingredient database are organized into an ingredient section, the individual ones of the words found in the measurement database are organized into a serving section and text information related to the direction keyword category is organized into a direction section.

4. The method of claim 1, wherein the first formatted recipe data is received from a camera apparatus of the client device as an image taken thereby and the act of analyzing further comprising utilizing optical character recognition (OCR) to identified the individual ones of the words of the image.

5. The method of claim 1, wherein the act of extracting nutrition information further comprises determining one or more nutritional values of the recipe data based at least in part on one or more component ingredients as determined by the act of analyzing.

6. The method of claim 1, wherein the nutrition logging performed at the client device comprises an identification by a user of the device that at least a portion of a food or beverage prepared according to the second formatted recipe data was consumed.

7. A computer-readable, non-transitory storage medium having computer executable instructions stored thereon, which when the instructions are executed are operable to:

retrieve a plurality of text relating to a recipe from a client device in communication with a server device;

analyze individual words comprising the plurality of text relating to the recipe to determine whether each may be found within one of three keyword databases of known words, the three keyword databases comprising;

a database of known ingredient-related words, a database of known measurement-related words, and a database of known instruction-related words;

extract nutrition information associated with individual ones of the words identified in the known ingredient-related keyword database;

organize the extracted nutrition information and the analyzed individual ones of the words into a second recipe comprising at least three sections related to the keyword database to which each word of the plurality of text of the recipe is associated; and

enable a user of the client device to log the second recipe data via a nutrition logging program executed thereat.

8. The computer readable storage media of claim 7, wherein the ingredient keyword database comprises text information related to ingredients or nutrient information of food and beverages, wherein the measurement keyword database comprises text information related to measurements and/or serving sizes for food and beverages, and wherein the instruction keyword database comprises text information related to preparation techniques for food and beverages.

9. The computer readable storage media of claim 7, wherein the instructions that are operable to organize comprise instructions that are operable to organize the extracted nutrition information such that the individual words identified within the ingredient keyword database are organized into an ingredient section, the individual words identified within the measurement keyword database are organized into a measurement section and the individual words identified within the instruction keyword database are is organized into an instruction section.

10. The computer readable storage media of claim 7, wherein the plurality of text relating to the recipe comprises text determined from an image captured by a camera apparatus of the client device, the determination comprising utilization of an optical character recognition (OCR) program run at the client device or the server.

11. The computer readable storage media of claim 7, wherein the plurality of text relating to the recipe comprises text retrieved from a uniform resource locator (URL) provided by the client device to the server device.

12. The computer readable storage media of claim 7, wherein the instructions are further operable to:

determine a language of the plurality of text based at least in part on a geographic location of the client device; and

analyze the individual words comprising the plurality of text relating to the recipe to determine whether each may be found within one of three keyword databases of known words for the determined language.

13. The computer readable storage media of claim 7, wherein the analysis of the individual words comprising the plurality of text relating to the recipe comprises for each of the individual words, sequentially examining the database of known ingredient-related words, the database of known measurement-related words, and the database of known instruction-related words until a match is found;

when no match is found for a particular one of the individual words, omitting analysis of the particular one of the individual words.

14. An apparatus comprising:

a memory unit; and

a processor coupled to the memory unit and configured to execute a plurality of instructions which are configured to when executed cause the apparatus to;

retrieve recipe text information from a client device in communication with the apparatus, the recipe text information comprising at least a plurality of words relating to preparation of a food or beverage;

analyze the text information to determine one of a plurality of keyword categories for individual ones of the plurality of words in the text information, the keyword categories being determined based on a presence of the individual ones of the plurality of words within a database of known words for each of three available keyword categories;

extract nutrition information associated with at least the individual ones of the words identified within the keyword category relating to known ingredients;

organize the extracted nutrition information and the plurality of words into sections related to the keyword categories; and

provide the organized extracted nutrition information and the plurality of words to the client device for nutrition logging thereat.

15. The apparatus of claim 14, wherein the keyword categories comprise one or more of:

an ingredient keyword category, a serving keyword category, and a direction keyword category.

16. The apparatus of claim 14, wherein the plurality of instructions are further configured when executed cause the apparatus to organize the plurality of words such that individual ones of the plurality of words which are related to the ingredient keyword category are organized into an ingredient section, individual ones of the plurality of words which are related to the serving keyword category are organized into a serving section and individual ones of the plurality of words which are related to the direction keyword category are organized into a direction section.

17. The apparatus of claim 14, wherein the recipe text information retrieved from the client device comprises text data obtained from an image taken by a camera at the client device or retrieved from a uniform resource locator (URL) provided by the client device.

18. The apparatus of claim 14, wherein the act of extracting nutrition information further comprises determining one or more nutritional values of the recipe text information based at least in part on one or more component ingredients as determined by the act of analyzing.

19. The apparatus of claim 14, wherein the nutrition logging performed at the client device comprises an identification by a user of the device that at least a portion of a food or beverage prepared according to the recipe text information was consumed.

20. The apparatus of claim 14, wherein the plurality of instructions are further configured when executed cause the apparatus to determine a language of the plurality of text based at least in part on a geographic location of the client device;

and

analyze the individual words comprising the plurality of text relating to the recipe to determine whether each may be found within one of three keyword databases of known words for the determined language.