Abstract:
Various embodiments include systems and methods for data mining of search engine and network operations to automatically identify query events. Data aggregated from such query events and stored as query history data may be processed to identify query ranking mismatches. These identified mismatches may be used with the query history data and target settings to automatically generate query rewrite data. In certain embodiments, this query rewrite data may be used to generate query rewrite input language (QRIL) records. Such QRIL records may then be used to automatically generate standardized rewrites which automatically resolve any conflicts between rewrites in a particular search engine.
Abstract:
Various embodiments include systems and methods tier processing query rewrite records to generate standardized query rewrites usable by a search engine. Such systems and method may involve analysis of query rewrite input language (QRIL) records to identify relationships and conflicts between multiple QRIL records, and to resolve these relationships and conflicts to generate a standardized rewrite in a semantic language recognizable by the search engine. Such systems and methods may gather QRIL records from a QRIL record database, process the QRIL records using precedence rules, and then communicate a set of standardized and optimized query rewrites to the search engine.
Abstract:
Various embodiments include systems and methods for generating query rewrite records which may be used to generate standardized query rewrites for a search engine. Such records may identify rewrite triggers as well as constraints and other metadata flags which may be associated with certain rewrites in query rewrite identification (QRIL) records. In certain embodiments, such records may be analyzed with other QRIL records or rewrite information to prevent rewrite conflicts and to generate standardized rewrites. This information may then be used by a search engine to generate responses to user queries.
Abstract:
In various example embodiments, systems and methods to mine product recommendations from query reformulation is provided. In example embodiments, a search query is mapped to a particular product. Transition data for the particular product is accessed. The transition data includes values reflecting a number of search transitions between the particular product and other products in session sets of previous queries. One or more recommendations based on the transition data is determined and provided to the user.
Abstract:
Systems and methods to mine product recommendations from query reformulation are provided. In example embodiments, a query that corresponds to a particular product is received. Transition data for the particular product is accessed. The transition data includes values reflecting a number of search transitions between the particular product and other products in session sets of previous queries. One or more recommendations based on the transition data is determined. The one or more recommendation are provided to a device of the user.
Abstract:
Various embodiments include systems and methods for generating query rewrite records which may be used to generate standardized query rewrites for a search engine. Such records may identify rewrite triggers as well as constraints and other metadata flags which may be associated with certain rewrites in query rewrite identification (QRIL) records. In certain embodiments, such records may he analyzed with other QRIL records or rewrite information to prevent rewrite conflicts and to generate standardized rewrites. This information may then be used by a search engine to generate responses to user queries.
Abstract:
Systems and methods to mine product recommendations from query reformulation are provided. In example embodiments, a query that corresponds to a particular product is received. Transition data for the particular product is accessed. The transition data includes values reflecting a number of search transitions between the particular product and other products in session sets of previous queries. One or more recommendations based on the transition data is determined. The one or more recommendation are provided to a device of the user.
Abstract:
In various example embodiments, systems and methods to mine product recommendations from query reformulation is provided. In example embodiments, a query that corresponds to a particular product is received. Transition data for the particular product is accessed. The transition data includes values indicating a number of search transitions based on a change in queries between the particular product and other products in previous session sets of queries. One or more recommendations based on the transition data is determined and provided to the user.
Abstract:
Various embodiments include systems and methods tier processing query rewrite records to generate standardized query rewrites usable by a search engine. Such systems and method may involve analysis of query rewrite input language (QRIL) records to identify relationships and conflicts between multiple QRIL records, and to resolve these relationships and conflicts to generate a standardized rewrite in a semantic language recognizable by the search engine. Such systems and methods may gather QRIL records from a QRIL record database, process the QRIL records using precedence rules, and then communicate a set of standardized and optimized query rewrites to the search engine.
Abstract:
Various embodiments include systems and methods for data mining of search engine and network operations to automatically identify query events. Data aggregated from such query events and stored as query history data may be processed to identify query ranking mismatches. These identified mismatches may be used with the query history data and target settings to automatically generate query rewrite data. In certain embodiments, this query rewrite data may be used to generate query rewrite input language (QRIL) records. Such QRIL records may then be used to automatically generate standardized rewrites which automatically resolve any conflicts between rewrites in a particular search engine.