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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67664
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department Of Master Of Computer Application
ASM’s IBMR, Chinchwad, Maharashtra, India
Department of Master of Computer Applications,
ASM’s IBMR, Chinchwad, Maharashtra, India
Department of Master of Computer Applications,
ASM’s IBMR, Chinchwad, Maharashtra, India
Department of Master of Computer Applications,
ASM’s IBMR, Chinchwad, Maharashtra, India
Department of Master of Computer Applications,
ASM’s IBMR, Chinchwad, Maharashtra, India
Finding a suitable flat or PG is challenging because users must choose both a suitable accommodation and compatible roommates. This review paper is based on the Knowledge-Based Stable Roommates approach and extends it into a practical framework called Flat-Match. The proposed framework combines accommodation filtering with lifestyle compatibility by considering factors such as budget, location, room type, cleanliness, smoking habits, sleep schedule, study habits, and move-in date. Unlike traditional rental platforms, Flat-Match provides personalized recommendations, ranked alternatives, conflict detection, and a temporary Flat Lock feature for reserving available rooms. This paper does not present experimental results; instead, it identifies the research gap between roommate matching and real-world accommodation discovery. The proposed framework offers a foundation for developing an intelligent, explainable, and user-friendly shared accommodation platform.
KEYWORDS
The reviewed research shows that roommate matching depends on multiple factors such as cleanliness, smoking, sleep and study habits, and individual preferences rather than simple rankings. Personalized-SRTI and Most-SRTI provide different approaches to compatibility, but their integration with property-level accommodation search remains limited. FlatMatch addresses this gap by combining roommate compatibility, property suitability, accommodation constraints, vacancy, ranked alternatives, conflict explanations, and a time-bound Flat Lock process. Future evaluation can determine whether this integrated approach improves shared-accommodation matching compared with conventional methods.
[[1] M. Fidan and E. Erdem, “Knowledge-Based Stable Roommates Problem: A Real-World Application,” Theory and Practice of Logic Programming, vol. 21, no. 6,pp.852869,2021,doi:10.1017/S147106842100032. [2] E. Erdem, M. Fidan, D. Manlove, and P. Prosser, “A General Framework for Stable Roommates Problems using Answer Set Programming,” Theory and Practice of Logic Programming, vol. 20, no. 6, pp. 911–925, 2020, doi: 10.1017/S1471068420000277. [3] D. J. Abraham, P. Biró, and D. F. Manlove, “‘Almost Stable’ Matchings in the Roommates Problem,” in International Workshop on Approximation and Online Algorithms, Springer, 2005, pp. 1–14. [4] D. Gale and L. S. Shapley, “College Admissions and the Stability of Marriage,” American Mathematical Monthly, vol. 69, no. 1, pp. 9–15, 1962. [5] E. Ronn, “NP-Complete Stable Matching Problems,” Journal of Algorithms, vol. 11, no. 2, pp. 285–304, 1990. [6] R. W. Irving and G. Manlove, “The Stable Roommates Problem with Ties,” Journal of Algorithms, vol. 43, no. 1, pp. 85–105, 2002. [7] N. Boehmer and E. Elkind, “Stable Roommate Problem with Diversity Preferences,” in Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020, pp. 1780–1782. [8] G. Brewka, T. Eiter, and M. Truszczynski, “Answer Set Programming: An Introduction to the Special Issue,” AI Magazine, vol. 37, no. 3, pp. 5–6, 2016. [9] A. Bhalla, P. Sethi, D. Ahuja, and A. R. Chugh, “Enhancing Co-Living Experience Through Intelligent Roommate Matching,” International Journal for Research in Applied Science and Engineering Technology, vol. 13, no. 11, pp. 1881–1888, 2025, doi: 10.22214/ijraset.2025.75484. [10] P. R. Dungyel et al., “Automatic Answer Evaluation: NLP Approach,” Zorig Melong – A Technical Journal of Science, Engineering and Technology, vol. 1, no. 1, pp. 51–56, 2013.
Publication Date
10/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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