The Research on General Case-Based Reasoning Method Based on TF-IDF

Abstract

With the continuous expansion of the application field of Case-Based Reasoning (CBR) technology, it is increasingly difficult for programmers to acquire and express professional knowledge. Therefore, the demand for general case retrieval model based on Case-Based Reasoning is rising. This paper first gives a structured expression of professional knowledge, and combines the Case-Based Reasoning method with the scientific measurement of keyword weight (Term Frequency-Inverse Document Frequency, TF-IDF) to design the case organization, case retrieval and case retaining in CBR technology. It provides an effective method for general case retrieval model.