Query generation using structural similarity between documents

Patent metadata

Field	Value
Publication number	US-9436747-B1
Application number	US-201514750483-A
Country	US
Kind code	B1
Filing date	Jun 25, 2015
Priority date	Nov 9, 2010
Publication date	Sep 6, 2016
Grant date	Sep 6, 2016

Abstract

Methods, systems, and apparatus, including computer program products, for generating synthetic queries using seed queries and structural similarity between documents are described. In one aspect, a method includes identifying embedded coding fragments (e.g., HTML tag) from a structured document and a seed query; generating one or more query templates, each query template corresponding to at least one coding fragment, the query template including a generative rule to be used in generating candidate synthetic queries; generating the candidate synthetic queries by applying the query templates to other documents that are hosted on the same web site as the document; identifying terms that match structure of the query templates as candidate synthetic queries; measuring a performance for each of the candidate synthetic queries; and designating as synthetic queries the candidate synthetic queries that have performance measurements exceeding a performance threshold.

First claim

What is claimed is:

1. A method comprising:
identifying, by one or more computers, a seed query for a structured document based on a performance of the seed query with respect to the structured document;
identifying, by the one or more computers, a structure of a portion of the structured document that includes at least one term of the seed query;
generating, by the one or more computers, a query template that specifies the structure and a portion of the structure from which text should be extracted;
generating, by the one or more computers, one or more synthetic queries using the query template and one or more other structured documents, the generating comprising:
identifying a portion of a particular structured document that includes the structure specified by the query template; and
generating a synthetic query using text contained in the portion of the structure of the particular structured document specified by the query template; and

storing, by the one or more computers, the one or more synthetic queries in a query store.

2. The method of claim 1 , wherein the query template includes a generative rule that specifies the portion of the structure from which text should be extracted.

3. The method of claim 1 , further comprising:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query;
identifying a search result to provide in response to the query based on the identified stored synthetic query; and
providing data that initiates presentation of the search result.

4. The method of claim 1 , further comprising:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query; and
providing data that initiates presentation of the identified stored synthetic query as a potential query refinement for the query.

5. The method of claim 1 , wherein the structure comprises a pair of markup tags.

6. The method of claim 1 , further comprising identifying the one or more other structured documents based on the one or more other structured documents being hosted on a same domain as the structured document.

7. The method of claim 1 , wherein generating the query template comprises:
identifying a number of structured documents that include the structure; and
generating the query template in response to the number of structured documents that include the structure satisfying a template qualification value.

8. A system, comprising:
a data processing apparatus; and
a memory storage apparatus in data communication with the data processing apparatus, the memory storage apparatus storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising:
identifying, by one or more computers, a seed query for a structured document based on a performance of the seed query with respect to the structured document;
identifying, by the one or more computers, a structure of a portion of the structured document that includes at least one term of the seed query;
generating, by the one or more computers, a query template that specifies the structure and a portion of the structure from which text should be extracted;
generating, by the one or more computers, one or more synthetic queries using the query template and one or more other structured documents, the generating comprising:
identifying a portion of a particular structured document that includes the structure specified by the query template; and
generating a synthetic query using text contained in the portion of the structure of the particular structured document specified by the query template; and

storing, by the one or more computers, the one or more synthetic queries in a query store.

9. The system of claim 8 , wherein the query template includes a generative rule that specifies the portion of the structure from which text should be extracted.

10. The system of claim 8 , wherein the operations further comprise:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query;
identifying a search result to provide in response to the query based on the identified stored synthetic query; and
providing data that initiates presentation of the search result.

11. The system of claim 8 , wherein the operations further comprise:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query; and
providing data that initiates presentation of the identified stored synthetic query as a potential query refinement for the query.

12. The system of claim 8 , wherein the structure comprises a pair of markup tags.

13. The system of claim 8 , wherein the operations further comprise identifying the one or more other structured documents based on the one or more other structured documents being hosted on a same domain as the structured document.

14. The system of claim 8 , wherein generating the query template comprises:
identifying a number of structured documents that include the structure; and
generating the query template in response to the number of structured documents that include the structure satisfying a template qualification value.

15. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising:
identifying, by one or more computers, a seed query for a structured document based on a performance of the seed query with respect to the structured document;
identifying, by the one or more computers, a structure of a portion of the structured document that includes at least one term of the seed query;
generating, by the one or more computers, a query template that specifies the structure and a portion of the structure from which text should be extracted;
generating, by the one or more computers, one or more synthetic queries using the query template and one or more other structured documents, the generating comprising:
identifying a portion of a particular structured document that includes the structure specified by the query template; and
generating a synthetic query using text contained in the portion of the structure of the particular structured document specified by the query template; and

storing, by the one or more computers, the one or more synthetic queries in a query store.

16. The non-transitory computer storage medium of claim 15 , wherein the query template includes a generative rule that specifies the portion of the structure from which text should be extracted.

17. The non-transitory computer storage medium of claim 15 , wherein the operations further comprise:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query;
identifying a search result to provide in response to the query based on the identified stored synthetic query; and
providing data that initiates presentation of the search result.

18. The non-transitory computer storage medium of claim 15 , wherein the operations further comprise:
receiving a query;
identifying a stored synthetic query that includes a term that matches a term of the received query; and
providing data that initiates presentation of the identified stored synthetic query as a potential query refinement for the query.

19. The non-transitory computer storage med

Assignees

• Google Inc

Inventors

• Baker Steven D
• Flaster Michael E
• Gupta Nitin
• Haahr Paul
• Venkatachary Srinivasan
• Wu Yonghui

Classifications

• G06F16/254 Primary

  Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses · CPC title

• G06F16/242

  Query formulation · CPC title

• G06F16/3322

  using system suggestions (G06F16/3325 takes precedence) · CPC title

• G06F16/951 Primary

  Indexing; Web crawling techniques · CPC title

• G06F40/186

  Templates · CPC title