A Novel Recommendation System for Housing Search: An MCDM Approach

Abstract

Recommendation system is the part and parcel of modern days’ information retrieval system. It takes input from the users and comes up with a personalized list of choices or alternatives to the user. This process makes the selection easy for the users. Recommendation system is helpful where the number of available choices is too large. In this paper, we have proposed a rank-based flat recommendation system. We took importance factors against the housing attributes from the users along with some preference values. These were processed through PROMETHEE II method to generate a rank-based recommendation system.