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A User-Centric Housing Recommender System

Author

Listed:
  • Ojokoh B.A
  • Olayemi O.C
  • Babalola A.E
  • Eyo E.O

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.

Suggested Citation

  • Ojokoh B.A & Olayemi O.C & Babalola A.E & Eyo E.O, 2018. "A User-Centric Housing Recommender System," Information Management and Business Review, AMH International, vol. 10(3), pages 17-24.
    • Handle: RePEc:rnd:arimbr:v:10:y:2018:i:3:p:17-24
    DOI: 10.22610/imbr.v10i3.2460
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    References listed on IDEAS

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    1. Omisore M. O. & Samuel O. W., 2014. "Personalized Recommender System for Digital Libraries," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 9(1), pages 18-32, January.
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