Recipe suggestion system and method

• US 9,275,393 B2
• Filed: 12/18/2012
• Issued: 03/01/2016
• Est. Priority Date: 12/18/2012
• Status: Active Grant

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Wal Mart Stores Inc (WalMart Inc.)
• Inventors: Argue, Stuart, Marcar, Anthony Emile
• Primary Examiner(s): NGUYEN, PHONG H
• Application Number:
  US13/719,026
• Publication Number:
  US 20140172894A1
• Time in Patent Office: 1,169 Days
• Field of Search: 707/722, 707/758, 705/26.7, 705/26.8, 705/27.1
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A computer-implemented method is disclosed herein. The method includes the step of storing, in a consumer purchase history database, identities of items purchased by a consumer. The method also includes the step of receiving, with a processing device of a recipe suggestion server, a recipe request signal from the consumer after said storing step. The method also includes the step of maintaining, in a recipe database, a plurality of recipes wherein each recipe is defined by a plurality of ingredients. The method also includes the step of comparing, with the processing device, the identities of items purchased by the consumer with the respective plurality of ingredients associated with one or more of the plurality of recipes. The method also includes the step of transmitting, with the processing device, at least one of the plurality of recipes to the consumer wherein the plurality of ingredients of the at least one of the plurality of recipes is correlated with the identities of items purchased by the consumer.

Claims

1. A computer-implemented method for suggesting a recipe to a consumer comprising the steps of:

receiving identities of items being purchased by a consumer at a checkout station and storing the identities in a consumer purchase history database including identities of items previously purchased by the consumer, each of the identities of items including an associated purchase date;

receiving, with a processing device of a recipe suggestion server, a recipe request signal from the consumer after said storing step;

determining, for each of the identities of items stored in the consumer purchase database, a probability that the corresponding item is usable as a function of the purchase date associated with the corresponding item and a date associated with the received recipe request;

maintaining, in a recipe database, a plurality of recipes wherein each recipe is defined by a plurality of ingredients;

comparing, with the processing device, the identities of items purchased by the consumer with the respective plurality of ingredients associated with one or more of the plurality of recipes and selecting a set of recipes as a function of the identities of items purchased by the consumer and each associated probability that the corresponding item is usable;

determining if one or more of the recipes included in the selected set of recipes has been previously rejected by the consumer and modifying the selected set of recipes to remove the rejected recipes;

and

transmitting, with the processing device, at least one of the recipes included in the modified selected set of recipes to the consumer wherein the plurality of ingredients of the at least one of the recipes included in the modified selected set of recipes is correlated with the identities of items previously purchased by the consumer.

2. The computer-implemented method of claim 1 wherein the consumer purchase history database is part of the recipe suggestion server.

3. The computer-implemented method of claim 1, wherein the recipe database is part of the recipe suggestion server.

4. The computer-implemented method of claim 1 wherein said maintaining step further comprises:

maintaining, in the recipe database, dietary information associated with each of the plurality of recipes.

5. The computer-implemented method of claim 1 wherein said maintaining step further comprises:

maintaining, in the recipe database, an ethnicity of each of the plurality of recipes.

6. The computer-implemented method of claim 1 wherein said transmitting step further comprises:

transmitting, with the processing device, more than one of the recipes included in the modified selected set of recipes to the consumer wherein the plurality of ingredients of each of the plurality of recipes that are transmitted is correlated with the identities of items previously purchased by the consumer.

7. The method of claim 1 wherein said transmitting step further comprises:

transmitting, with the processing device, dietary information associated with the at least one of the plurality of recipes.

8. The method of claim 1 further comprising:

retaining, in a consumer preference database, meal preferences of the consumer.

9. The method of claim 8 further comprising:

identifying, with the processing device and in response to said comparing step, more than one of the plurality of recipes wherein the plurality of ingredients of each of the more than one of the plurality of recipes is correlated with the identities of items previously purchased by the consumer.

10. The method of claim 9 further comprising:

cross-referencing, with the processing device, the recipes identified in said identifying step with the meal preferences stored in the consumer preference database.

11. The method of claim 10 wherein said transmitting step further comprises:

transmitting, with the processing device, only recipes are consistent with the meal preferences stored in the consumer preference database.

12. The method of claim 10 wherein said transmitting step further comprises:

transmitting, with the processing device, recipes that are consistent with the meal preferences stored in the consumer preference database as well as recipes not previously transmitted to the consumer.

13. The method of claim 8 further comprising:

receiving, with the processing device, a consumer review of the at least one of the plurality of recipes transmitted to the consumer in said transmitting step; and

storing the consumer review as meal preference in the consumer preference database.

14. The method of claim 8 wherein said retaining step further comprises:

receiving, with the processing device, the meal preferences from the consumer.

15. A computing system comprising:

a consumer purchase history database containing identities of items previously purchased by a consumer;

a recipe database containing a plurality of recipes wherein each recipe is defined by a plurality of ingredients;

a computing device associated with a consumer; and

a server computer including;

a processing device including a processor coupled to a memory device, the processing device configured to;

receive identities of items being purchased by the consumer at a checkout station and storing the identities in the consumer purchase history database;

receive a recipe request signal from the computing device associated with the consumer;

determine, for each of the identities of items stored in the consumer purchase history database, a probability that the corresponding item is usable as a function of the purchase date associated with the corresponding item and a date associated with the received recipe request;

correlate the identities of items purchased by the consumer with the respective plurality of ingredients associated with one or more of the plurality of recipes and select a set of recipes as a function of the identities of items purchased by the consumer and each associated probability that the corresponding item is usable;

determine if one or more of the recipes included in the selected set of recipes has been previously rejected by the consumer and modify the selected set of recipes to remove the rejected recipes; and

a transmission module configured to transmit at least one of the recipes included in the modified selected set of recipes to the computing device to cause the computing device to display the at least one of the recipes to the consumer, wherein the plurality of ingredients of the at least one of the recipes included in the modified selected set is correlated with the identities of items previously purchased by the consumer.

16. The computing system of claim 15 further comprising:

a consumer preference database containing meal preferences of the consumer.

17. The computing system of claim 16 wherein said correlation module is configured to correlate meal preferences with any of the plurality of recipes having a plurality of ingredients correlated with the identities of items previously purchased by the consumer.

18. The computing system of claim 17 wherein said transmission module is operable to transmit all of the plurality of recipes having a plurality of ingredients correlated with the identities of items previously purchased by the consumer.

19. The computing system of claim 17 wherein said transmission module is operable to transmit all of the plurality of recipes that are defined by a plurality of ingredients correlated with the identities of items previously purchased by the consumer and that are consistent with meal preferences of the consumer.

20. The computing system of claim 17 wherein said transmission module is operable to transmit dietary information of the at least one of the plurality of recipes having a plurality of ingredients correlated with the identities of items previously purchased by the consumer.