E-Housing Rental System Using Hybrid User-Centric Private or Public Property Recommender System Using Fuzzy Logic and Item-Based Collaborative Filtering

Authors

  • P. Uma  Department of Computer Science & Engineering, NS Raju Institute of Technology, Visakhapatnam, Andhra Pradesh, India
  • M. Shanmukh Rao  Department of Computer Science & Engineering, NS Raju Institute of Technology, Visakhapatnam, Andhra Pradesh, India
  • M. Jithendar Balaji  Department of Computer Science & Engineering, NS Raju Institute of Technology, Visakhapatnam, Andhra Pradesh, India
  • R. Pavan Kalyan  Department of Computer Science & Engineering, NS Raju Institute of Technology, Visakhapatnam, Andhra Pradesh, India
  • Dr. P. Vishnu Mahesh  Professor, Department of Computer Science & Engineering, NS Raju Institute of Technology, Visakhapatnam, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT228383

Keywords:

Recommender System, Fuzzy Logic, Collaborative Filtering, Housing, Angular Framework, Spring Boot, EHRS, E-Housing, Rental System, Hybrid User- Centric

Abstract

In the present living movement is one of the social peculiarities. Individuals, because of multiple factors, numerous various times continue to move from one spot to another. The primary necessity and need in another spot is Housing or convenience. Finding or getting great reasonable convenience in sensibly brief time frame is a test. The issue is two different ways for both House Owner's (Searching a Tenant) and house leasing local area i.e., Tenants people group. However land and rental offices exist, they are costly or at time one-sided. It is extremely challenging for new contestants into a city going house to house looking for rental lodging. Looking through rental lodging includes time, cost and commonality of the spot. Same way for house proprietors setting aside occupant includes opportunity, cost and need great interpersonal organizations. To defeat what is happening, we have emerged with an Automation arrangement by proposing for advancement of programming framework known as "E-HOUSING RENTAL SYSTEM." EHRS Aims to offer types of assistance to "House Owners", "Relocating populace", "Land Agencies" and other local area that straightforwardly or in a roundabout way reliant upon moving populace. EHRS works with different individuals locally: 1) Gives house proprietor's a stage to illuminate about their home subtleties to clients (Tenants) that require lodging. 2) Works with travelers in finding require convenience in brief time frame and for minimal price. 3) Help land organizations in centering their business regions.

References

  1. T. Kemeny and T. Osman, “ The wider impacts of high-technology employment : Evidence from u.s. cities, “ Research Policy, Vol. 47, no.9, pp. 1729-1740, 2018.
  2. N. Liang, H.-T. Zheng, J.-Y. Chen, A. K. Sangaiah, and C.-Z. Zhaom “Trsdl: Tag-aware recommender system,” Applied Sciences, Vol. 8 no. 5, o.799, 2018.
  3. S. M. Taheri and I. Irajian, “Deepmovrs: A unified framework for deep learning-based movie recommender system,” in 2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS). IEEE, 2018, pp.200-204
  4. C. Gomez-Uribe and N.Hunt, “ The Netflix recommender system: Algorithms, business value, and innovation,” ACM Transactions on Management
  5. Convolutional neural networks: an overview and application in radiology DOI: 10.1007/s13244-018-0639-9
  6. S. Erguden, Low cost housing policies and constraints in developing countries, International conference on spatial development for sustainable development, Nairobi (2001).
  7. United Nations, The Bill of Human Rights (1948).
  8. D. Seedhouse, Foundation for Health Achievement, Health Policy, vol. 7, issue, 3 (1986).
  9. Emil JanulewiczMcGill , Liu (Dave) LiuMcGill [email protected] "Chinese rental housing company website to information analysis" Feb (2009).
  10. Jia Sheng , Ying Zhou, Shuqun Li "Analysis of rental housing paper Market Localization"2nd International Conference on Education, Management and Social Science (ICEMSS 2014).
  11. Lv jianliang1, iangying , "The Research on E-commerce Applied in rental housing Enterprises"2012 International Conference on Innovation and Information Management vol 36 (ICIIM 2012).
  12. M. Kiruthika ,Smita Dange, Swati Kinhekar, 4Girish B Trupti G, Sushant R.rental housing APPLICATION USING SPATIAL DATABASE Nov (2012).
  13. Mingyuan Yu , Donghui Yu, Lei Ye, Xiwei Liu," Visualization Method Based on Cloud Computing for rental housing Information" The Fourth International Conferences on Advanced Service Computing SERVICE COMPUTATION (2012).
  14. Amalgam Approach to Computer Vision – Deep Learning and IoT Approaches for Aerial View Cultivating Monitoring – IEEE- COMSOC- MMTC Communications- Frontiers

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-06-30

Issue

Volume 8, Issue 3, May-June-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. Uma, M. Shanmukh Rao, M. Jithendar Balaji, R. Pavan Kalyan, Dr. P. Vishnu Mahesh, " E-Housing Rental System Using Hybrid User-Centric Private or Public Property Recommender System Using Fuzzy Logic and Item-Based Collaborative Filtering, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.354-358, May-June-2022. Available at doi : https://doi.org/10.32628/CSEIT228383