US 11,961,507 B2 · Systems and methods for improving content discovery in response to a voice query using a recognition rate which depends on detected trigger terms

Abstract

A transcription of a query for content discovery is generated, and a context of the query is identified, as well as a first plurality of candidate entities to which the query refers. A search is performed based on the context of the query and the first plurality of candidate entities, and results are generated for output. A transcription of a second voice query is then generated, and it is determined whether the second transcription includes a trigger term indicating a corrective query. If so, the context of the first query is retrieved. A second term of the second query similar to a term of the first query is identified, and a second plurality of candidate entities to which the second term refers is determined. A second search is performed based on the second plurality of candidates and the context, and new search results are generated for output.

Claims20

Dependent claims

A method for improving content discovery in response to a voice query, the method comprising:

generating a transcription of a voice query;
determining whether the transcription includes a trigger term indicating that an intent of the voice query is to correct a previous voice query;
and
in response to determining that the transcription includes a trigger term:
identifying, based on the transcription and data associated with the previous voice query, a first term of the voice query that is similar to a second term of the previous voice query;
temporarily increasing, for the first term, a relaxation rate of an entity recognition model, wherein a number of interpretations considered for the first term is based on the relaxation rate;
identifying a plurality of candidate entities to which the first term refers using the entity recognition model and based on the increased relaxation rate;
performing a search based on the plurality of candidate entities and the data associated with the previous voice query;
and
generating for output a search result of the search.

7 more elements

A system for improving content discovery in response to a voice query, the system comprising:

memory;
and
control circuitry configured to:
generate a transcription of a voice query;
determine whether the transcription includes a trigger term indicating that an intent of the voice query is to correct a previous voice query;
and
in response to determining that the transcription includes a rigger trigger term:
identify, based on the transcription and data, retrieved from the memory, associated with the previous voice query, a first term of the voice query that is similar to a second term of the previous voice query;
temporarily increase, for the first term, a relaxation rate of an entity recognition model, wherein a number of interpretations considered for the first term is based on the relaxation rate;
identify a plurality of candidate entities to which the first term refers using the entity recognition model and based on the increased relaxation rate;
perform a search based on the plurality of candidate entities and the data associated with the previous voice query;
and
generate for output a search result of the search.

10 more elements

Dependencies are inferred from the claim text.

Systems and methods for improving content discovery in response to a voice query using a recognition rate which depends on detected trigger terms

Life of this patent

Systems and methods for improving content discovery in response to a voice query using a recognition rate which depends on detected trigger terms

Life of this patent

Abstract

Claims20