Search and search optimization using a pattern of a location identifier

摘要

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.

主权项

1. A method for optimizing search, the method, comprising:
identifying a location identifier of a webpage having content associated with a semantic type; extracting a pattern from the location identifier of the webpage that is different from the location identifier but including a portion of the location identifier; storing the pattern in a computer database embodied in a computer-readable storage medium; wherein, the pattern corresponds to a semantic type of the content in the webpage; using the pattern stored in the computer-readable storage medium, performing pattern recognition on multiple location identifiers having a same domain name as the location identifier; detecting location identifiers from the multiple location identifiers matching the pattern extracted from the location identifier; identifying, a set of type-determined web pages having the matching location identifiers; wherein, each of the set of type-determined web pages has content that is related to the semantic type; wherein, the semantic type is associated with multiple attributes that are user-defined; wherein, the pattern is extracted from the location identifier using user input; data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type; and identifying a refined set of type-determined web pages from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining.