Using hierarchical temporal memory for document ranking system identification

摘要

A model of hierarchical temporal memory for identification of text documents ranking system is proposed. An approach to the evaluating of the model's parameters is proposed and an evaluation of training time is given. Tests were performed on data, received by modeling OkapiBm25 algorithm, applied to the collection of text documents of ROMIP seminar. The obtained results allow us to conclude that the model can solve the identification problems.