Platform for selection of items used for the configuration of an industrial system

A platform used for selection of items from context aware sorted available items in a selection session,

• wherein the selected items are used for the configuration of a system, in particular an industrial system,
• the platform comprising
• a processing unit adapted to calculate a compressed vector, Vcomp, from a numerical input vector, V, representing items selected in a current selection session as context, wherein the compressed vector, Vcomp, is calculated from the numerical input vector, V, using an artificial neural network, ANN, adapted to capture non-linear dependencies between items,
• wherein the processing unit is adapted to multiply the compressed vector, Vcomp, with a weight matrix, EI, derived from a factor matrix, E, obtained as a result of a tensor factorization of a stored relationship tensor, Tr, representing relations, r, between selections of items performed in historical selection sessions, available items and their attributes to compute an output score vector, S,
• wherein the available items are sorted automatically by the processing unit for selection in the current selection session according to relevance scores of the output score vector, S, computed by the processing unit.