Information that will help you to get started with SPARQUE.
Information on creating knowledge graphs from data sources, defining mappings with SPARQUE Language, and loading triples into Sparque's graph database.
Information on managing strategies using the Strategy Editor, connecting and configuring building blocks, setting API outputs, adding parameters, and creating stacked strategies for complex search tasks.
Information on managing APIs in SPARQUE Desk to connect strategies to your application.
Information on assessing strategy performance in SPARQUE Desk using testsets and evaluations.
Information on managing user permissions and roles.
Information on managing your account settings.
Information on using the Query API. Learn about endpoints, faceted search, response types, and request options.
Information on Tuple-notation, encoding, error messages and short-hand notation.
The SPARQUE Shopware extension allows you to seamlessly integrate our powerful tools into your Shopware store, providing advanced data analytics and insights.
Information on the SPARQUE API Wrapper, which streamlines interactions between clients, internal users, and SPARQUE Desk.
Information on SPARQUE Hub, the front-end component designed to simplify the interactions of clients and internal users with SPARQUE Desk.
Information that will help you perform SPARQUE project tasks.
Discover important terms and concepts used throughout SPARQUE Desk.
Computes IDF of T in DT pairs
Strings are expected to be tokens.
DT [OBJ,STRING]: a list of object-string pairs.Tidf [STRING]: IDF-weighted stringsDTidf [STRING]: IDF-weighted pairsProperty Q: The lower the Q, the more "obscure terms" are being penalized compared to standard IDF.
The range is ]0, 1]. Q=1 yields standard IDF. A suggested starting point s 0.6.Output scores can be aggregated and/or normalized.