Multi-Criteria Decision Based Recommender System using Fuzzy Linguistics Model for E-Commerce
Mohd Tashfeen Ashraf, Zair Hussain · Zenodo (CERN European Organization for Nuclear Research) · 2018
Recommender systems have been explored, extreme in recent years, and are applied in a variety of applications. An increasing number of E-commerce sites on the Internet has caused the data overload. Mostly, users are permitted to provide overall ratings for experience items, but many online systems allow users to provide their evaluations on different standards. Various efforts have been gained in the past to design a recommendation system, centering on the ratings of a single standard. Nevertheless, investigation of the utility of multi criteria recommender systems in an online environment is nevertheless in its early childhood. In this paper, Author proposed multi-criteria recommendation system using fuzzy linguistic modeling. The proposed approach recommends the relevant item to the user with the help of Fuzzy Multi-criteria Decision Making approach.