FIRDoR - Fuzzy information retrieval for document recommendation

Abstract

This paper presents FIRDoR, which is a recommended methodology for document retrieval using the Fuzzy Inference System, with the goal of converging the area of interest of the user with that of the documents recovered. With the increasing number of documents available today on the internet and in databases, the task of assisting users in finding relevant information becomes very complex using conventional methods due to the difficulty in retrieving and ranking results. This study performs an experiment in order to identify the needs of the user, by their areas of interest, and the fuzzy classification approach in terms of a semantic document in order to make a recommendation. For the experiment, a base of 918 papers and 8 researchers were used and the results were gratifying, with a high degree of certainty in the recommendation of papers of importance for the user.