Counting machine for data and confidential personalization of proprietary entity ratings via minkowski-distance semi-supervised machine learning

Abstract

A machine for choosing among possible entities is disclosed comprising an electronic device with a display, a user interface and a memory storage storing a table listing predetermined attribute preferences associated with index numbers computed from user rankings. Influencing factors are displayed and partially ranked by the user. The top influencing factors are selected from a first menu and the least important factors chosen in a second menu which is adaptive to the first menu selections. The machine further includes a counting circuit, and an input-output device driver. The input-output device driver transmits the top ranks and the bottom ranks to the counting circuit, which determines the index number corresponding to the mapping of the top ranks and the bottom ranks. The memory storage unit retrieves the predetermined entity ranking associated with the mapping, derived from experts in the field, opinions of consumers, and machine learning, and displays it.