Abstract: Systems and methods for searching subsets of a search space. The system includes a memory with programmable instructions for searching a search space stored thereon, and processor for executing the programmable instructions. A user enters a search query, for example, via the user interface. The system receives a search command including the search query. The system performs a first search of a first subset of the of the search space using the search query. The results from the first search are presented to the user. The system receives a second, supplemental search command from the user, and responsive to the second, supplemental search command, performs a second search, using the same search query, of a second subset of the search space.

Abstract: Systems and methods for automatically determining recalled products from unstructured recall data. In exemplary embodiments, fuzzy logic is used to determine recalled products from unstructured recall data. In exemplary embodiments, natural language algorithms with an embedded data grammar dictionary are used to extract item identifiers and manufacturer name from unstructured recall data.

Abstract: The method comprises receiving a search query for one or more products; determining a query result set of a plurality of result products, in response to the search query; determining a subset of the plurality of result products that satisfy at least one of environmental, social, governance (ESG) factors or diversity factors; ranking the subset of the plurality of result products to create a ranked query result, based at least in part on a weighting of the at least one of the ESG factors or the diversity factors; and providing the ranked query result set to the user.

Abstract: Methods of and systems for searching a catalog include parsing the items of the catalog into tokens, determining the frequency with which each token appears in the catalog, and storing the frequencies in a cache. Queries to the catalog are likewise parsed into tokens, and the tokens of the query string are compared to frequency values in the cache to identify a smaller search space within the catalog.

Abstract: Methods of and systems for searching a catalog include parsing the items of the catalog into tokens, determining the frequency with which each token appears in the catalog, and storing the frequencies in a cache. Queries to the catalog are likewise parsed into tokens, and the tokens of the query string are compared to frequency values in the cache to identify a smaller search space within the catalog.

Abstract: Methods of and systems for searching a catalog include parsing the items of the catalog into tokens, determining the frequency with which each token appears in the catalog, and storing the frequencies in a cache. Queries to the catalog are likewise parsed into tokens, and the tokens of the query string are compared to frequency values in the cache to identify a smaller search space within the catalog.

Abstract: Systems and methods for automatically determining recalled products from unstructured recall data. In exemplary embodiments, fuzzy logic is used to determine recalled products from unstructured recall data. In exemplary embodiments, natural language algorithms with an embedded data grammar dictionary are used to extract item identifiers and manufacturer name from unstructured recall data.