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Original Article
Machine Learning Based Personalized Local Service Finder
Sahil Chinchkhede1
Bharat Mohadikar2
Bhagyashree Kumbhare3
Yamini Laxane4
1 2 Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3 HOD & Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4 Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.
Published Online: May-August 2026
Pages: 283-290
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502033
References
1. R. Deshpande and S. Kulkarni, "User preference modeling for hyperlocal service platforms in emerging economies," Journal of Urban
Computing and Digital Services, vol. 9, no. 2, pp. 112-128, 2022.
2. M. Nair, V. Menon, and P. Rajan, "Cold start mitigation in collaborative filtering for service recommendation," International Journal of
Intelligent Systems and Applications, vol. 15, no. 3, pp. 41-57, 2021.
3. S. Bhardwaj and A. Sharma, "Fake review detection in local service directories using behavioral anomalies," Journal of Data Science and
Trust Management, vol. 6, no. 1, pp. 23-39, 2023.
4. K. Venkatesh, L. Reddy, and N. Kumar, "Contextual bandit approaches for real time service recommendation," IEEE Transactions on
Knowledge and Data Engineering, vol. 34, no. 7, pp. 3210-3225, 2022.
5. P. Joshi R. Khandelwal and P. Mehta, "Protecting user data in distributed local service recommendation engines," International Journal ofInformation Security and Privacy, vol. 14, no. 2, pp. 55-71, 2022.
6. T. George and A. Mathew, T. John, and S. Varghese, "Using gradient boosted trees to rank service providers in two sided local marketplaces,"
Proceedings of the International Conference on Machine Learning and Data Mining Applications, pp. 178-192, 2023.
7. D. Saha, B. Chakraborty, and S. Pal, "User segmentation strategies for personalized local search," Journal of Ambient Intelligence and Smart
Environments, vol. 14, no. 2, pp. 155-171, 2022.
8. N. Gupta and V. Singh, N. Rathore, and K. Yadav, "Applying transfer learning techniques to recommend local services across different urban
environments," ACM Transactions on Intelligent Systems and Technology, vol. 14, no. 3, pp. 1-24, 2023.
9. R. Pillai and S. Nambiar, "Evaluation frameworks for personalized recommendation systems in the Indian service sector," Journal of Emerging
Technologies in Business and Society, vol. 8, no. 1, pp. 88-104, 2022.
10. A. Sengupta, M. Das, and T. Roy, "Scalability challenges in real time recommendation for local service platforms," International Journal of
Big Data and Cloud Computing, vol. 11, no. 3, pp. 201-218, 2021.
Computing and Digital Services, vol. 9, no. 2, pp. 112-128, 2022.
2. M. Nair, V. Menon, and P. Rajan, "Cold start mitigation in collaborative filtering for service recommendation," International Journal of
Intelligent Systems and Applications, vol. 15, no. 3, pp. 41-57, 2021.
3. S. Bhardwaj and A. Sharma, "Fake review detection in local service directories using behavioral anomalies," Journal of Data Science and
Trust Management, vol. 6, no. 1, pp. 23-39, 2023.
4. K. Venkatesh, L. Reddy, and N. Kumar, "Contextual bandit approaches for real time service recommendation," IEEE Transactions on
Knowledge and Data Engineering, vol. 34, no. 7, pp. 3210-3225, 2022.
5. P. Joshi R. Khandelwal and P. Mehta, "Protecting user data in distributed local service recommendation engines," International Journal ofInformation Security and Privacy, vol. 14, no. 2, pp. 55-71, 2022.
6. T. George and A. Mathew, T. John, and S. Varghese, "Using gradient boosted trees to rank service providers in two sided local marketplaces,"
Proceedings of the International Conference on Machine Learning and Data Mining Applications, pp. 178-192, 2023.
7. D. Saha, B. Chakraborty, and S. Pal, "User segmentation strategies for personalized local search," Journal of Ambient Intelligence and Smart
Environments, vol. 14, no. 2, pp. 155-171, 2022.
8. N. Gupta and V. Singh, N. Rathore, and K. Yadav, "Applying transfer learning techniques to recommend local services across different urban
environments," ACM Transactions on Intelligent Systems and Technology, vol. 14, no. 3, pp. 1-24, 2023.
9. R. Pillai and S. Nambiar, "Evaluation frameworks for personalized recommendation systems in the Indian service sector," Journal of Emerging
Technologies in Business and Society, vol. 8, no. 1, pp. 88-104, 2022.
10. A. Sengupta, M. Das, and T. Roy, "Scalability challenges in real time recommendation for local service platforms," International Journal of
Big Data and Cloud Computing, vol. 11, no. 3, pp. 201-218, 2021.
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