Search and Search Optimization Using A Pattern Of A Location Identifier
AssigneeVcvc III LLC
InventorsJames M. Wissner, Nova Spivack
Life of this patent
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Abstract
Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.
Claims20
A method of search, the method comprising:
- detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;
- wherein, the specified pattern corresponds to a semantic type;
- identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;
- data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;
- identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determine via the data mining;
- wherein, the set of URIs are identified from links of user-added content in a social network.
A system for search, the comprising:
- a process and memory, cooperating to function as:
- a detecting unit configured to detect a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;
- wherein, the specified pattern corresponds to a semantic type;
- a first identifying unit configured to identify a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;
- a mining unit configured to mine the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;
- a second identifying unit configured to identify a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determine via the data mining;
- wherein, the set of URIs are identified from links of user-added content in a social network.
A method performed by a search engine, the method comprising:
- detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;
- wherein, the specified pattern corresponds to a semantic type;
- wherein, the specified pattern includes a domain name segment or a wildcard segment, a semantic type segment, and an attributes segment,
- wherein, the semantic type is associated with multiple attributes that are user-defined;
- identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;
- data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;
- identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining.
A machine-readable storage medium having stored thereon instructions which when executed by a processor performs a method, the method comprising:
- detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;
- wherein, the specified pattern corresponds to a semantic type;
- wherein, the specified pattern includes a domain name segment or a wildcard segment, a semantic type segment, and an attributes segment,
- wherein, the semantic type is associated with multiple attributes that are user-defined;
- identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;
- data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;
- identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining.
Dependencies are inferred from the claim text.