Open AccessA User-Centric Housing Recommender System
Author(s) -
Bolanle Adefowoke Ojokoh,
Olufunke Catherine Olayemi,
Amosa Babalola,
E O Eyo
Publication year - 2018
Publication title -
information management and business review
Language(s) - English
Resource type - Journals
ISSN - 2220-3796
DOI - 10.22610/imbr.v10i3.2460
Subject(s) - recommender system , collaborative filtering , computer science , fuzzy logic , human–computer interaction , world wide web , artificial intelligence
Recommender systems are very useful in assisting users to reduce the complexities involved in their decision making processes. It is particularly difficult for people to make decisions on housing choices because different options exist with different facilities, in different locations and with varied cost implications. This paper proposes a hybrid user-centric housing recommender system that is implemented to assist potential house buyers and tenants to generate house listings based on their preferences with the aid of fuzzy logic and item-based collaborative filtering. A virtual tour of the houses is also provided for better choice making.