| Recommender systems: an overview, research trends, and future directions PK Singh, PKD Pramanik, AK Dey, P Choudhury International Journal of Business and Systems Research 15 (1), 14-52, 2021 | 91 | 2021 |
| Enhancing recommendation accuracy of item-based collaborative filtering using Bhattacharyya coefficient and most similar item PK Singh, M Sinha, S Das, P Choudhury Applied Intelligence 50, 4708-4731, 2020 | 37 | 2020 |
| Optimized recommendations by user profiling using apriori algorithm PK Singh, E Othman, R Ahmed, A Mahmood, H Dhahri, P Choudhury Applied Soft Computing 106, 107272, 2021 | 36 | 2021 |
| An improved similarity calculation method for collaborative filtering-based recommendation, considering neighbor’s liking and disliking of categorical attributes of items PK Singh, PKD Pramanik, P Choudhury Journal of information and Optimization Sciences 40 (2), 397-412, 2019 | 26 | 2019 |
| A comparative study of different similarity metrics in highly sparse rating dataset PK Singh, PKD Pramanik, P Choudhury Data Management, Analytics and Innovation: Proceedings of ICDMAI 2018 …, 2019 | 26 | 2019 |
| Collaborative filtering in recommender systems: Technicalities, challenges, applications, and research trends PK Singh, PKD Pramanik, P Choudhury New Age Analytics, 183-215, 2020 | 23 | 2020 |
| An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight PK Singh, S Sinha, P Choudhury Knowledge and Information Systems 64 (3), 665-701, 2022 | 19 | 2022 |
| A robust pest identification system using morphological analysis in neural networks M Mishra, PK Singh, A Brahmachari, NC Debnath, P Choudhury Periodicals of Engineering and Natural Sciences 7 (1), 483-495, 2019 | 11 | 2019 |
| Improving the accuracy of collaborative filtering-based recommendations by considering the temporal variance of top-n neighbors PK Singh, S Setta, PKD Pramanik, P Choudhury International Conference on Innovative Computing and Communications …, 2020 | 10 | 2020 |
| A Novel Neighborhood Calculation Method by Assessing Users' Varying Preferences in Collaborative Filtering. PK Singh, PKD Pramanik, NC Debnath, P Choudhury CATA, 345-355, 2019 | 8 | 2019 |
| A comparative study on prediction approaches of item-based collaborative filtering in neighborhood-based recommendations PK Singh, R Ahmed, IS Rajput, P Choudhury Wireless Personal Communications 121, 857-877, 2021 | 7 | 2021 |
| Mitigating sparsity using Bhattacharyya Coefficient and items’ categorical attributes: Improving the performance of collaborative filtering based recommendation systems PK Singh, PKD Pramanik, P Choudhury Applied Intelligence 52 (5), 5513-5536, 2022 | 3 | 2022 |
| Generating A New Shilling Attack for Recommendation Systems PK Singh, PKD Pramanik, M Sardar, A Nayyar, M Masud, P Choudhury Computers,Materials & Continua 71 (2), 2022 | 2 | 2022 |
| Novel semantic relatedness computation for multi-domain unstructured data R Ahmed, PK Singh, T Ahmad EAI Endorsed Transactions on Energy Web 8 (31), e5-e5, 2021 | 1 | 2021 |
| Mitigating Sparsity and Cold Start Problem in Collaborative Filtering using Cross-domain Similarity PK Singh, PKD Pramanik, G Ahuja, A Nayyar, V Pandey, P Choudhury 2020 8th International Conference on Orange Technology (ICOT), 1-6, 2020 | 1 | 2020 |
| Improving recommendation accuracy using cross-domain similarity PK Singh, PKD Pramanik, S Mishra, A Nayyar, D Shukla, P Choudhury 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), 280-285, 2020 | 1 | 2020 |
