The Implementation of Rent Hub System: An Intelligent Online Rental Marketplace with ML-Powered Personalized Product Discovery and Recommendations

Amna Ismaeel; Ayesha Qayyum; Muneeba Mehmood; Irum Matloob; Sabeen Masood

Authors

Amna Ismaeel Department of Software Engineering, Fatima Jinnah Women University Rawalpindi
Ayesha Qayyum Department of Software Engineering, Fatima Jinnah Women University Rawalpindi
Muneeba Mehmood Department of Software Engineering, Fatima Jinnah Women University Rawalpindi
Irum Matloob Department of Software Engineering, Fatima Jinnah Women University Rawalpindi
Sabeen Masood Department of Software Engineering, Capital University of Science and Technology Islamabad Pakistan.

Keywords:

Rent All, Recommendation System, Content-Based Filtering, Collaborative Filtering, Chatbot.

Abstract

The rapid expansion of peer-to-peer rental services has significantly influenced the share economy by connecting consumers with short-term access to diverse rental products. However, existing platforms primarily focus on specific categories, limiting consumer choices and creating a gap in the market. This study introduces RentAll, a comprehensive multi-category rental platform offering access to houses, automobiles, furniture, gadgets, and jewelry, while prioritizing data privacy through anonymized transactions. To enhance user experience, we developed a recommendation system utilizing content-based filtering, cosine similarity, and collaborative filtering through FP-Growth Frequent Itemset Mining to suggest products based on customer behavior. Additionally, a chatbot powered by a Sequence-to-Sequence model using RNN and LSTM units was integrated for real-time customer support. The results demonstrate RentAll's effectiveness in providing a unified rental solution with personalized recommendations. The platform streamlines the rental process, reduces financial strain, and expands product offerings to serve diverse demographics. High user satisfaction is reported due to its user-friendly interface and engaging features, including secure payment processing via Easypaisa. Moreover, the implementation of robust security measures protects user information and builds trust. In conclusion, RentAll effectively addresses key issues in online rentals by offering a user-friendly platform with diverse rental categories, enhancing consumer convenience and satisfaction while maintaining stringent data protection standards.

References

E. Munoz, J. Parraga-Alava, J. Meza, J. Morales and S. Ventura, "“Housing fuzzy recommender system: A systematic literature review.”," Heliyon , vol. 10, no. 5, p. 26444., 2024.

G. Malhotra and N. Fatehpuria, "Consumers’ intention to purchase renting products: role of consumer minimalism, environmental consciousness and consumer scepticism.," An International Journal , 2024.

T. White, "Beds for rent.," Economy and Society , vol. 53, p. 67–91., 2024.

Z. Wang, S. Chen, S. Ji, Z. Pan, C. Meng, J. Zhang, T. Li and Y. Zheng, "Housing rental suggestion based on e-commerce data.," Knowledge-Based Systems , vol. 268, p. 110474, 2023 .

E. Kannout, M. Grodzki and M. Grzegorowski, "Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system.," Computer Science and Information Systems, vol. 00, p. 52–52, 2023.

A. Permana and A. Wibowo, "Movie Recommendation System Based on Synopsis Using Content-Based Filtering with TF-IDF and Cosine Similarity.," International Journal on Information and Communication Technology (IJoICT) , vol. 9, p. 1–14, 2023.

N. Ravindhar, S. CH, M. Kiruthiga and e. al., "Product rental web application using html, css, bootstrap, php, and sql.," In Proceedings of the 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE,, p. 1368–1371, 2023.

A. Kapoor and M. Vij, "Want it, rent it: Exploring attributes leading to conversion for online furniture rental platforms.," Journal of theoretical and applied electronic commerce research , vol. 16, p. 188–207, 2023.

F. Ahmed, E. Hazlan and M. Abdulla, "Enhancement of Mobile-Based Application for Vehicle Rental.," In Proceedings of the 2023 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, , p. 163–168, 2023.

R. Singh, S. Maurya, T. Tripathi, T. Narula and G. Srivastav, "Movie recommendation system using cosine similarity and KNN.," International Journal of Engineering and Advanced Technology, vol. 9, p. 556–559, 2023.

K. Rathore, A. Syed and R. Patel, " Rental House Management System.," International Research Journal of Modernization in Engineering Technology and Science, vol. 3, p. 1093–1103, 2023.

M. Shawkat, M. Badawi, S. El-ghamrawy, R. Arnous and A. El-desoky, "An optimized FP-growth algorithm for discovery of association rules.," The Journal of Supercomputing, vol. 78, p. 5479–5506, 2022.

M. Khan, "“Rent-A-Car"," “Governors State University, Computer Science Department”, , 2022.

M. Benjamin, K. Kanjirappally and A. Joseph, "Movie Recommendation System Using Content-Based Filtering And Cosine Similarity.," In Proceedings of the Proceedings of the National Conference on Emerging Computer Applications (NCECA), vol. 4, p. 405, 2022.

D. Gimnastian, R. Yasirandi and D. Oktaria, "Analysis and Design of a Route Recommendation System and Bicycle Rental Fees at Tourist Destinations with Genetic Algorithms.," Jurnal Media Informatika Budidarma, vol. 6, p. 837–847, 2022.

J. Paul, "The Rental Zone (House Renting Website)," International Research Journal of Modernization in Engineering Technology and Science , vol. 4, p. 2582–5208, 2022.

I. Prayudha and M. Algifari, "Implementation of Algorithms For Frequent Itemset In Forming Association Rules In Movie Recommendation System.," IJISTECH (International Journal of Information System and Technology) , vol. 5, p. 570–577, 2022.

Y. Setty, "“Management System for an Apartment”,," “Governors State University, Computer Science Department” , 2022.

D. Voumick, P. Deb, S. Sutradhar and M. Khan, "Development of online based smart house renting web application.," Journal of Software Engineering and Applications, vol. 14, p. 312–328, 2022.

A. Thakur, "Car rental system.," Int. J. Res. Appl. Sci. Eng. Technol , vol. 9, p. 402–412, 2022 .