US 9,436,747 B1 · Query generation using structural similarity between documents

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.

Claims20

Dependent claims

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.

6 more elements

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 more elements

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.

6 more elements

Dependencies are inferred from the claim text.

Query generation using structural similarity between documents

Life of this patent

Query generation using structural similarity between documents

Life of this patent

Abstract

Claims20