PLATFORM FOR SELECTION OF ITEMS USED FOR THE CONFIGURATION OF AN INDUSTRIAL SYSTEM

摘要

A computer-implemented method and platform for context aware sorting of items available for configuration of a system during a selection session, the method comprising the steps of providing (S1) a numerical input vector, V, representing items selected in a current selection session as context; calculating (S2) a compressed vector, V_comp, from the numerical input vector, V, using an artificial neural network, ANN, adapted to capture non-linear dependencies between items; multiplying (S3) the compressed vector, V_comp, with a weight matrix, E_I, derived from a factor matrix, E, obtained as a result of a tensor factorization of a stored relationship tensor, T_r, representing relations, r, between selections of items performed in historical selection sessions, available items and their attributes to compute an output score vector, S; and sorting (S4) automatically the available items for selection in the current selection session according to relevance scores of the computed output score vector, S.