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US 11,693,907 B2Granted
Domain-specific negative media search techniques
AssigneeGiant Oak, Inc.
InventorsGary Shiffman, Jeffrey Borowitz
Life of this patent
Estimating the term…
Abstract
In some implementations, systems and methods that are capable of customizing negative media searches using domain-specific search indexes are described. Data indicating a search query associated with a negative media search for an entity and a corpus of documents to be searched are obtained. Content from a particular collection of documents from among the corpus of documents is obtained and processed. Multiple scores for the entity are computed based on processing the content obtained from the collection of documents. The multiple scores are aggregated to compute a priority indicator that represents a likelihood that the collection of documents includes content that is descriptive of derogatory information.
Claims19
A method performed by one or more computers, the method comprising:
- receiving a search query for an entity, wherein the search query comprises at least (i) a text fragment representing a name of the entity and (ii) a domain-specific index that specifies a first collection of documents predetermined to be associated with a particular negative media domain;
- identifying, using the domain-specific index, a set of documents from among the first collection of documents that are responsive to the search query;
- determining a likelihood of the text fragment being present in a second collection of documents that are not associated with the particular negative media domain;
- computing a commonality score for the entity based on the likelihood determined for the text fragment being present in the second collection of documents;
- computing, for each document included within the set of documents, a reliability score representing a likelihood that information specified by a particular document is associated with the entity, wherein reliability scores for the set of documents are computed based on the commonality score;
- selecting a subset of documents from the set of documents based on reliability scores computed for the set of documents, wherein each document included in the subset of documents has a reliability score satisfying a set of reliability criteria;
- determining a priority indicator for the entity based on information specified by the subset of documents;
- and
- enabling a user to perceive the priority indicator.
6 more elements
A system comprising:
- one or more computing devices;
- and
- one or more non-transitory storage devices storing instructions that, when received by the one or more computing devices, cause the one or more computing devices to perform operations comprising:
- receiving a search query for an entity, wherein the search query comprises at least (i) a text fragment representing a name of the entity and (ii) a domain-specific index that specifies a first collection of documents predetermined to be associated with a particular negative media domain;
- identifying, using the domain-specific index, a set of documents from among the first collection of documents that are responsive to the search query;
- determining a likelihood of the text fragment being present in a second collection of documents that are not associated with the particular negative media domain;
- computing a commonality score for the entity based on the likelihood determined for the text fragment being present in the second collection of documents;
- computing, for each document included within the set of documents, a reliability score representing a likelihood that information specified by a particular document is associated with the entity, wherein reliability scores for the set of documents are computed based on the commonality score;
- selecting a subset of documents from the set of documents based on reliability scores computed for the set of documents, wherein each document included in the subset of documents has a reliability score satisfying a set of reliability criteria;
- determining a priority indicator for the entity based on information specified by the subset of documents;
- and
- enabling a user to perceive the priority indicator.
9 more elements
At least one non-transitory computer-readable storage device storing instructions that, when received by one or more computing devices, cause the one or more computing devices to perform operations comprising:
- receiving a search query for an entity, wherein the search query comprises at least (i) a text fragment representing a name of the entity and (ii) a domain-specific index that specifies a first collection of documents predetermined to be associated with a particular negative media domain;
- identifying, using the domain-specific index, a set of documents from among the first collection of documents that are responsive to the search query;
- determining a likelihood of the text fragment being present in a second collection of documents that are not associated with the particular negative media domain;
- computing a commonality score for the entity based on the likelihood determined for the text fragment being present in the second collection of documents;
- computing, for each document included within the set of documents, a reliability score representing a likelihood that information specified by a particular document is associated with the entity, wherein reliability scores for the set of documents are computed based on the commonality score;
- selecting a subset of documents from the set of documents based on reliability scores computed for the set of documents, wherein each document included in the subset of documents has a reliability score satisfying a set of reliability criteria;
- determining a priority indicator for the entity based on information specified by the subset of documents;
- and
- enabling a user to perceive the priority indicator.
6 more elements
Dependencies are inferred from the claim text.