DETECTING PRODUCT LINES WITHIN PRODUCT SEARCH QUERIES

• US 20140188934A1
• Filed: 12/27/2012
• Published: 07/03/2014
• Est. Priority Date: 12/27/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Datta, Ritendra
• Granted Patent: US 10,394,816 B2
• Time in Patent Office: Days
• US Class Current: 707/771
• CPC Class Codes: G06F 16/24553 of query operations

Abstract

Systems and methods can determine product lines product searches. One or more computing devices can receive a product query of search terms. The product query may be classified to identify a product category. A brand may be identified for the product query. The brand may be selected from a list of known brands for the product category. One or more unknown product line terms may be identified within the product query. A metric may be computed to indicate how well the unknown product line terms correspond to an actual product line within the brand. The metric may be compared to a specified threshold. The unknown product line terms may be designated as a new product line of the brand if the metric favorably compares to the specified threshold. A product search may be performed on the product query. Product search results may be returned according to the product search.

Claims

1. A computer-implemented method for determining product lines from product searches, comprising:

receiving, using one or more computing devices, a product query comprising search terms;

classifying, using the one or more computing devices, the product query to identify a product category;

identifying, using the one or more computing devices, a brand corresponding to the product query, the brand being selected from a list of known brands for the product category and being based on one or more of the search terms;

identifying, using the one or more computing devices, unknown product line terms within the product query;

computing, using the one or more computing devices, a metric indicating how well the unknown product line terms correspond to an actual product line within the brand;

comparing, using the one or more computing devices, the metric to a specified threshold;

designating, using the one or more computing devices, the unknown product line terms as a new product line for the brand in response to the metric favorably comparing to the specified threshold;

performing, using the one or more computing devices, a product search based on the product query; and

returning, using the one or more computing devices, search results according to the product search.

2. The computer-implemented method of claim 1, wherein computing the metric comprises evaluating the unknown product line terms for typical product line term patterns.

3. The computer-implemented method of claim 1, wherein identifying unknown product line terms within the product query comprises identifying product attributes within the product query according to a known attribute list.

4. The computer-implemented method of claim 1, wherein computing the metric comprises determining a total number of other product queries comprising the unknown product line terms.

5. The computer-implemented method of claim 1, wherein computing the metric comprises evaluating how frequently other product queries comprise both the unknown product line terms and terms associated with the brand.

6. The computer-implemented method of claim 1, wherein computing the metric comprises evaluating how frequently other product queries comprise both the unknown product line terms and terms associated with brands other than the brand.

7. The computer-implemented method of claim 1, wherein computing the metric comprises evaluating the unknown product line terms for similarities to known product lines associated with the brand.

8. The computer-implemented method of claim 1, further comprising refining the search results based on the designated new product line.

9. A system, comprising:

one or more computing devices that are configured to;

receive a product query of search terms;

classify the product query to identify a product category;

identify a brand for the product query, the brand being selected from a list of known brands for the product category;

identify unknown product line terms within the product query;

compute a metric indicating how well the unknown product line terms correspond to an actual product line within the brand;

compare the metric to a specified threshold;

designate the unknown product line terms as a new product line of the brand in response to the metric favorably comparing to the specified threshold;

perform a product search based on the product query; and

return search results according to the product search.

10. The system of claim 9, wherein identifying unknown product line terms within the product query comprises identifying product attributes within the product query according to a known attribute list.

11. The system of claim 9, wherein computing the metric comprises determining a total number of other product queries comprising the unknown product line terms.

12. The system of claim 9, wherein computing the metric comprises evaluating how frequently other product queries comprise both the unknown product line terms and terms associated with the brand.

13. The system of claim 9, wherein computing the metric comprises evaluating how frequently other product queries comprise both the unknown product line terms and terms associated with brands other than the brand.

14. The system of claim 9, wherein computing the metric comprises evaluating the unknown product line terms for similarities to known product lines associated with the brand.

15. The system of claim 9, wherein the search results comprise links to products.

16. A computer program product, comprising:

a non-transitory computer-readable medium having computer-readable program code embodied thereon that, when executed by one or more computing devices, cause the one or more computing devices to perform a method comprising;

receiving a product query comprising search terms;

classifying the product query to identify a product category;

identifying a brand for the product query, the brand being selected from a list of known brands for the product category;

identifying unknown product line terms within the product query;

computing a metric indicating how well the unknown product line terms correspond to an actual product line within the brand;

comparing the metric to a specified threshold;

designating the unknown product line terms as a new product line of the brand in response to the metric favorably comparing to the specified threshold;

performing a product search based on the product query to obtain search results;

refining the search results based on the designated new product line; and

returning the search results according to the product search.

17. The computer program product of claim 16, wherein computing the metric comprises evaluating the unknown product line terms for typical product line term patterns.

18. The computer program product of claim 16, wherein identifying unknown product line terms within the product query comprises identifying product attributes within the product query according to a known attribute list.

19. The computer program product of claim 16, wherein computing the metric comprises determining a total number of other product queries comprising the unknown product line terms.

20. The computer program product of claim 16, wherein computing the metric comprises evaluating how frequently other product queries comprise both the unknown product line terms and terms associated with the brand.