DISPLAYING PRODUCT RECOMMENDATIONS ON A MAP

• US 20120123674A1
• Filed: 11/15/2010
• Published: 05/17/2012
• Est. Priority Date: 11/15/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Perks, Barbara Leigh, Paushkina, Anastasia
• Application Number:
  US12/945,912
• Publication Number:
  US 20120123674A1
• Time in Patent Office: Days
• US Class Current: 701/426
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G09B 29/007 using computer methods

Abstract

Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has performed a search for a product, wherein the product has a parameter corresponding thereto, and the parameter has a constraint corresponding thereto. Inventories of multiple retail stores can be searched over by relaxing the constraint, thereby allowing a recommended product to be located. A graphical icon representative of a retail store that has the recommended product in stock is included in the map together with data indicative of the price of the recommended product at the retail store.

Claims

1. A method, comprising:

receiving an identity of at least one product, wherein a user is interested in purchasing the at least one product, wherein the at least one product has a parameter corresponding thereto, and wherein the parameter has a constraint corresponding thereto;

receiving data that indicates a geographic area of interest of the user;

using a processor to perform a search to locate at least one retail store in the geographic area of interest of the user;

relaxing the constraint corresponding to the parameter of the product;

using the processor to search an inventory of the at least one retail store to locate a recommended product, wherein the search of the inventory is based at least in part upon the relaxing of the constraint corresponding to the parameter of the product;

outputting a recommended product that is in the inventory of the at least one retail store based at least in part upon the relaxing of the constraint;

determining a price of the recommended product at the at least one retail store; and

using the processor to generate a map that illustrates to the user a location of the at least one retail store, wherein the map comprises data indicative of an identity of the at least one retail store and the price of the recommended product.

2. The method of claim 1, wherein the recommended product in the inventory of the at least one retail store is based at least in part upon purchase patterns of the user.

3. The method of claim 1, wherein the recommended product in the inventory of the at least one retail store is based at least in part upon purchase patterns of other users.

4. The method of claim 1, wherein the recommended product in the inventory of the at least one retail store is based at least in part upon products in stock at the at least one retail store that are similar to the at least one product.

5. The method of claim 1, wherein the at least one constraint is price of the at least one product, brand name of the at least one product, or model of the at least one product.

6. The method of claim 1, wherein generating the map comprises:

providing a graphical icon that is representative of the at least one retail store on the map; and

providing a selectable link in relation to the at least one retail store on the map, wherein receipt of a selection of the selectable link from the user causes driving directions to the at least one retail store to be presented to the user.

7. The method of claim 1, further comprising:

receiving a shopping list of products that are of interest to the user, wherein the shopping list comprises a plurality of products;

performing a search for the plurality of products over multiple retail stores in the geographic area of interest to the user; and

generating the map such that the multiple retail stores are represented on the map by respective graphical icons, wherein prices pertaining to the products or prices pertaining to recommended products in the multiple retail stores are displayed in association with the respective graphical icons.

8. The method of claim 7, wherein generating the map comprises causing a plurality of selectable links to be displayed, wherein selection of a first selectable link causes a driving route to be output that directs the user to a subset of the multiple retail stores to purchase the plurality of products at a collectively cheapest price.

9. The method of claim 8, wherein generating the map comprises causing a plurality of selectable links to be displayed, wherein selection of a second selectable link causes a driving route to be output that directs the user to a subset of the multiple retail stores to purchase the plurality of products in a least amount of driving time.

10. The method of claim 1, further comprising:

using the processor to perform a search for the product over online retail stores; and

causing a price corresponding to the product at the online retail store is displayed to the user in a side panel adjacent to the map.

11. The method of claim 1, wherein the geographic region of interest to the user is with respect to a current geographic location of the user.

12. The method of claim 1, further comprising:

receiving a selection of the at least one retail store from the user on the map;

responsive to receiving the selection of the at least one retail store from the user, displaying to the user at least one other product that is in stock at the at least one retail store that is related to the at least one product.

13. The method of claim 1, further comprising:

receiving a selection of the at least one retail store from the user on the map;

responsive to receiving the selection of the at least one retail store, providing the user with an option to place the at least one product on hold at the at least one retail store;

receiving an indication that the user has selected the option to place the at least one product on hold; and

placing the at least one product on hold for a predefined amount of time responsive to receiving the indication that the user has selected the option to place the at least one product on hold.

14. A system comprising:

a plurality of components that are executable by a processor, the components comprising;

a search component that receives a request to perform a search for at least one product from a user, wherein the product has a parameter associated therewith, wherein the search component performs the search over inventories of a plurality of retail stores in a geographic area of interest to the user, and wherein the search component relaxes at least one constraint pertaining to the parameter of the product to locate a recommended product that is in stock at least one retail store amongst the plurality of retail stores; and

a map generator component that is in communication with the search component that generates a map for display on a display screen of a computing device, wherein the map is of the geographic area of interest to the user and comprises a graphical icon that is representative of at least one store that has the recommended product in stock and price data corresponding to the recommended product.

15. The system of claim 14, wherein the search component comprises a recommender component that determines the recommended product based at least in part upon the at least one relaxed constraint.

16. The system of claim 15, wherein the recommender component determines the recommended product based at least in part upon historical shopping data of the user.

17. The system of claim 15, wherein the recommender component determines the recommended product based at least in part upon historical shopping patterns of other users.

18. The system of claim 14, wherein the search component receives identities of a plurality of products and searches over the inventories of the plurality of retail stores for the plurality of products, wherein the map generator component generates the map such that the map comprises graphical icons representative of multiple retail stores in the geographic area that is of interest to the user that have at least one of the products in stock, and wherein the map further comprises data that is indicative of prices of the products at the multiple retail stores.

19. The system of claim 14, wherein the map further comprises a selectable link that is displayed in association with the graphical icon, wherein responsive to selection of the selectable link the map generator component outputs driving directions to the at least one retail store to the user.

20. A computer-readable storage device comprising instructions that, when executed by a processor, cause the processor to perform acts comprising:

receiving an identity of a product from a user, wherein the product has a parameter corresponding thereto, and wherein the parameter has at least one constraint corresponding thereto;

receiving a geographical area of interest to the user;

responsive to receiving the identity of the product and the geographical area of interest to the user, searching inventories of multiple retail stores in the geographical area of interest to the user for the product;

relaxing the at least one constraint that corresponds to the parameter;

searching inventories of the multiple retail stores in the geographical area of interest to the user based at least in part upon the relaxing of the at least one constraint that corresponds to the parameter;

locating a recommended product in an inventory of at least one of the retail stores in the geographical area of interest to the user;

generating a map, wherein the map comprises;

a first graphical icon that is representative of a first retail store;

first data that indicates that the product is in stock at the first retail store;

second data that indicates price of the product at the first retail store;

a second graphical icon that is representative of a second retail store;

third data that indicates that the recommended product is in stock at the second retail store; and

fourth data that indicates price of the recommended product at the second retail store.