Method, system, and computer readable medium for rendering a graphical user interface visually indicating search results including related suggested products

• US 9,767,504 B1
• Filed: 11/04/2013
• Issued: 09/19/2017
• Est. Priority Date: 07/29/2009
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Mukherjee, Rajat, Das, Abhinandan S., Low, Jennifer Liu, Moisa, Dan
• Primary Examiner(s): ALLEN, WILLIAM J
• Application Number:
  US14/070,629
• Time in Patent Office: 1,415 Days
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/248 Presentation of query results
• 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
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0627 using item specifications
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for related search suggestions for products. In one aspect, a method includes receiving a query for searching documents wherein the query specifies a first product. A number of occurrences of the first product in a plurality of prior queries of the documents submitted by users is determined. A product category for the first product is determined based on one or more attributes associated with the first product, the category having a predetermined plurality of category attributes. A suggested product is selected wherein the suggested product is associated with attributes that satisfy the category attributes.

Claims

1. A computer-implemented method for determining alternative product queries, the method comprising:

identifying, by one or more processors, a set of popular product queries, including;

determining, by one or more processors, a number of occurrences of a first product model number of a first product in a plurality of prior queries of documents submitted by various users;

verifying that the number of occurrences meets a specified threshold number of occurrences; and

storing the first product model number in a database of popular product queries with model numbers of other products;

identifying, by the one or more processors, previous queries that were previously submitted by other users and specified the first product;

identifying, by the one or more processors within the previous queries that were previously submitted by the other users, attributes of the first product that were also specified in the previous queries;

determining, for the first product, a product category that includes products having the attributes of the first product that were specified in the previous queries submitted by the other users, including accessing a database that lists product categories and corresponding attributes to identify the product category using the attributes of the first product that were specified in the previous queries;

rendering, by one or more processors in a graphical user interface, a search field configured to receive a search query;

receiving, via the search field from a given user, a given query that specifies a first brand of the first product;

selecting, as a query term for the given query, the first product model number from the set of popular product queries based on the first brand being specified by the given query;

selecting, by the one or more processors and in response to receipt of the given query, a suggested product that has one or more same attributes as products in the determined product category and has a model number included in the set of popular product queries, wherein the suggested product is different than the first product and has a model number that differs from the first product model number and a brand that differs from the first brand; and

in response to the given query that specifies the first brand of the first product;

rendering, by the one or more processors within a first region of the graphical user interface, a search result that visually identifies the suggested product; and

rendering, by the one or more processors within the first region of the graphical user interface, one or more search results that visually identify the first product, wherein the one or more search results that visually identify the first product include at least a URL configured to present an associated document corresponding to the URL for viewing through the graphical user interface.

2. The method of claim 1 in which the given query comprises one or more of a product brand and a product model.

3. The method of claim 2 in which the given query comprises the product brand, and further comprising:

identifying as the suggested product, a popular product model associated with the product brand.

4. The method of claim 1 in which one of the attributes of the first product is received from one or more of:

one of the various users, a system administrator, a merchandiser, and a manufacturer of the product.

5. The method of claim 1 in which selecting the suggested product is based on a number of times documents containing the suggested product are selected by the various users from results responsive to one or more of the plurality of prior queries.

6. The method of claim 1 in which selecting the suggested product is based on a promotion associated with the suggested product.

7. The method of claim 1, further comprising providing a price for the suggested product.

8. The method of claim 7 in which user selection of the suggested product initiates a process in which a user purchases the suggested product.

9. The method of claim 7 in which user selection of the suggested product'"'"'s price initiates a process in which a user views one or more of product ratings, product reviews, product previews and product comparisons.

10. The method of claim 1, further comprising receiving input selecting the suggested product and causing the documents to be searched for the suggested product.

11. The method of claim 1 in which the given query comprises a product brand and a product model, and wherein selecting the suggested product comprises selecting one or more other product models of the product brand where a distance between attributes of the one or more other product models and the product model satisfies a criterion.

12. A computer program product, encoded on a computer-readable medium, operable to cause data processing apparatus to perform operations comprising:

identifying, by one or more processors, a set of popular product queries, including;

determining a number of occurrences of a first product model number of a first product in a plurality of prior queries of documents submitted by various users;

verifying that the number of occurrences meets a specified threshold number of occurrences; and

storing the first product model number in a database of popular product queries with model numbers of other products;

identifying previous queries that were previously submitted by other users and specified the first product;

identifying, within the previous queries that were previously submitted by the other users, attributes of the first product that were also specified in the previous queries;

determining, for the first product, a product category that includes products having the attributes of the first product that were specified in the previous queries submitted by the other users, including accessing a database that lists product categories and corresponding attributes to identify the product category using the attributes of the first product that were specified in the previous queries;

rendering, by the one or more processors in a graphical user interface, a search field configured to receive a search query;

receiving, via the search field from a given user, a given query that specifies a first brand of the first product;

selecting, as a query term for the given query, the first product model number from the set of popular product queries based on the first brand being specified by the given query;

selecting, in response to receipt of the given query, a suggested product that has one or more same attributes as products in the determined product category and has a model number included in the set of popular product queries, wherein the suggested product is different than the first product and has a model number that differs from the first product model number and a brand that differs from the first brand; and

in response to the given query that specifies the first brand of the first product;

rendering, within a first region of the graphical user interface a search result that visually identifies the suggested product; and

rendering, by the one or more processors within the first region of the graphical user interface, one or more search results that visually identify the first product, wherein the one or more search results that visually identify the first product include at least a URL configured to present an associated document corresponding to the URL for viewing through the graphical user interface.

13. The computer program product of claim 12 in which the given query comprises one or more of a product brand and a product model.

14. The computer program product of claim 13 in which the given query comprises the product brand, and further comprising:

identifying as the suggested product, a popular product model associated with the product brand.

15. The computer program product of claim 12 in which one of the attributes of the first product is received from one or more of:

one of the various users, a system administrator, a merchandiser, and a manufacturer of the product.

16. The computer program product of claim 12 in which selecting the suggested product is based on a number of times documents containing the suggested product are selected by the various users from results responsive to one or more of the plurality of prior queries.

17. The computer program product of claim 12 in which selecting the suggested product is based on a promotion associated with the suggested product.

18. The computer program product of claim 12, further comprising providing a price for the suggested product.

19. The computer program product of claim 18 in which user selection of the suggested product initiates a process in which a user purchases the suggested product.

20. The computer program product of claim 18 in which user selection of the suggested product'"'"'s price initiates a process in which a user views one or more of product ratings, product reviews, product previews and product comparisons.

21. The computer program product of claim 12, further comprising receiving input selecting the suggested product and causing the documents to be searched for the suggested product.

22. The computer program product of claim 12 in which the given query comprises a product brand and a product model, and wherein selecting the suggested product comprises selecting one or more other product models of the product brand where a distance between attributes of the one or more other product models and the product model satisfies a criterion.

23. A system comprising:

a computer readable medium including a program product; and

one or more processors configured to execute the program product and perform operations comprising;

identifying, by one or more processors, a set of popular product queries, including;

determining a number of occurrences of a first product model number of a first product in a plurality of prior queries of documents submitted by various users;

verifying that the number of occurrences meets a specified threshold number of occurrences; and

storing the first product model number in a database of popular product queries with model numbers of other products;

identifying, by the one or more processors, previous queries that were previously submitted by other users and specified the first product;

identifying, within the previous queries that were previously submitted by the other users, attributes of the first product that were also specified in the previous queries;

determining, for the first product, a product category that includes products having the attributes of the first product that were specified in the previous queries submitted by the other users, including accessing a database that lists product categories and corresponding attributes to identify the product category using the attributes of the first product that were specified in the previous queries;

rendering, by one or more processors in a graphical user interface, a search field configured to receive a search query;

receiving, via the search field from a given user, a given query that specifies a first brand of the first product;

selecting, as a query term for the given query, the first product model number from the set of popular product queries based on the first brand being specified by the given query;

selecting, in response to receipt of the given query, a suggested product that has one or more same attributes as products in the determined product category and has a model number included in the set of popular product queries, wherein the suggested product is different than the first product and has a model number that differs from the first product model number and a brand that differs from the first brand; and

in response to the given query that specifies the first brand of the first product;

rendering, within a first region of the graphical user interface a search result that visually identifies the suggested product; and

rendering, by the one or more processors within the first region of the graphical user interface, one or more search results that visually identify the first product, wherein the one or more search results that visually identify the first product include at least a URL configured to present an associated document corresponding to the URL for viewing through the graphical user interface.

24. The system of claim 23 in which the given query comprises one or more of a product brand and a product model.

25. The system of claim 24 in which the given query comprises the product brand, and further including operations comprising:

identifying as the suggested product, a popular product model associated with the product brand.

26. The system of claim 23 in which one of the attributes of the first product is received from one or more of:

one of the various users, a system administrator, a merchandiser, and a manufacturer of the product.

27. The system of claim 23 in which selecting the suggested product is based on a number of times documents containing the suggested product are selected by the various users from results responsive to one or more of the plurality of prior queries.

28. The system of claim 23 in which selecting the suggested product is based on a promotion associated with the suggested product.

29. The system of claim 23, further including operations comprising providing a price for the suggested product.

30. The system of claim 29 in which user selection of the suggested product initiates a process in which a user purchases the suggested product.

31. The system of claim 29 in which user selection of the suggested product'"'"'s price initiates a process in which a user views one or more of product ratings, product reviews, product previews and product comparisons.

32. The system of claim 23, further including operations comprising receiving input selecting the suggested product and causing the documents to be searched for the suggested product.

33. The system of claim 23 in which the given query comprises a product brand and a product model, and wherein selecting the suggested product comprises selecting one or more other product models of the product brand where a distance between attributes of the one or more other product models and the product model satisfies a criterion.