Abstract: A system for processing a query request on behalf of a user requesting product information, the system comprising: a computer processor for implementing instructions stored in storage to: receive the query request from the user over a communications network, the query including a query term; access product definitions associated with a master and variant record differentiated product database containing the product information for a particular product; compare the query term to the product definitions to determine whether the query term matches one or more master definitions of the product database or one or more variant definitions of the product database; augment the query request based on results of said matches to generate an augmented query request containing augmented query content; send the augmented query request to a search engine for searching against the product database; receive a query result from the search engine containing the product information in response to the augmented query request, the

Abstract: Large data sets that use ACLS can be efficiently ingested into a search index and subsequently searched. The ingestion may replace the ACLS of records with virtual ACL nodes that are common to a number of individual records, and a virtual ACL node to ACL entities index is provided for use in searching the records with the virtual ACL nodes.

Abstract: A method for optimizing identification and access to product records in a product database, the method executed as a set of stored instructions by a computer processor to implement the steps of: receiving over a communications network textual information representing a potential portion of multiple different words or phrases, the textual information being a sequence of characters; searching metadata of each of a set of product listings stored in the product database for one or more of said multiple different words or phrases in the metadata matching the sequence of characters by having the sequence of characters included as a portion of the one or more of said multiple different words or phrases; executing a search query against the set of product listings using the one or more of said multiple different words or phrases to return a query search result containing a plurality of product listings matching the search query; selecting a product listing subset from the query search result, each product listing in

Abstract: A method for optimizing identification and access to product records in a product database, the method executed as a set of stored instructions by a computer processor to implement the steps of: receiving over a communications network textual information representing a potential portion of multiple different words or phrases, the textual information being a sequence of characters; searching metadata of each of a set of product listings stored in the product database for one or more of said multiple different words or phrases in the metadata matching the sequence of characters by having the sequence of characters included as a portion of the one or more of said multiple different words or phrases; executing a search query against the set of product listings using the one or more of said multiple different words or phrases to return a query search result containing a plurality of product listings matching the search query; selecting a product listing subset from the query search result, each product listing in

Abstract: Queries against search engines like the Google Search Appliance, Elastic Search and other readily available search engines to provide meaningful content for the purpose of supporting eCommerce websites. In particular, methods that provide for an intelligent abstraction to know when and how to generate a set of queries, the set of queries including one or more queries that are relevant to the searchable content are disclosed. In addition, the methods also can determine if a query against the search engine is even required and may redirect the use to other dynamic or static content outside the search index utilized by the search engine to satisfy the queries.

Abstract: A system for processing a query request on behalf of a user requesting product information, the system comprising: a computer processor for implementing instructions stored in storage to: receive the query request from the user over a communications network, the query including a query term; access product definitions associated with a master and variant record differentiated product database containing the product information for a particular product; compare the query term to the product definitions to determine whether the query term matches one or more master definitions of the product database or one or more variant definitions of the product database; augment the query request based on results of said matches to generate an augmented query request containing augmented query content; send the augmented query request to a search engine for searching against the product database; receive a query result from the search engine containing the product information in response to the augmented query request, the

Abstract: A method for optimizing identification and access to product records in a product database, the method executed as a set of stored instructions by a computer processor to implement the steps of: receiving over a communications network textual information representing a potential portion of multiple different words or phrases, the textual information being a sequence of characters; searching metadata of each of a set of product listings stored in the product database for one or more of said multiple different words or phrases in the metadata matching the sequence of characters by having the sequence of characters included as a portion of the one or more of said multiple different words or phrases; executing a search query against the set of product listings using the one or more of said multiple different words or phrases to return a query search result containing a plurality of product listings matching the search query; selecting a product listing subset from the query search result, each product listing in

Abstract: Queries against search engines like the Google Search Appliance, Elastic Search and other readily available search engines to provide meaningful content for the purpose of supporting eCommerce websites. In particular, methods that provide for an intelligent abstraction to know when and how to generate a set of queries, the set of queries including one or more queries that are relevant to the searchable content are disclosed. In addition, the methods also can determine if a query against the search engine is even required and may redirect the use to other dynamic or static content outside the search index utilized by the search engine to satisfy the queries.