Queries classification using machine learning for implementation in intelligent manufacturing

Abstract

The problem of the information retrieval systems operation efficiency increasing in manufacturing is analysed and the general statement of research task is carried out. The training sample preparation for search queries classification was performed, during which the task of search queries classification was formulated, pre-processing of the search query texts was carried out and the dictionary was generated. For the dictionary formation, search queries tokenization and stamping were initially carried out, and then a dictionary was created in the words weight vector form based on the search query text generalized evaluation.