A User-Centric Housing Recommender System

  • Ojokoh B.A. Department of Computer Science, Federal University of Technology, Akure
  • Olayemi O.C. Joseph Ayo Babalola University, Ikeji-Arakeji
  • Babalola A.E. Department of Mathematical Sciences, Anchor University, Lagos
  • Eyo E.O. Department of Computer Science, Federal University of Technology, Akure
DOI: https://doi.org/10.22610/imbr.v10i3.2460
Keywords: Recommender System, Fuzzy Logic, Collaborative Filtering, Housing

Abstract

 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.   

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References

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Published
2018-10-13
How to Cite
B.A., O., O.C., O., A.E., B., & E.O., E. (2018). A User-Centric Housing Recommender System. Information Management and Business Review, 10(3), 17-24. https://doi.org/10.22610/imbr.v10i3.2460
Issue
Vol 10 No 3 (2018)
Section
Research Paper

Copyright (c) 2018 Ojokoh B.A., Olayemi O.C., Babalola A.E., Eyo E.O.

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