An efficient recommendation generation using relevant Jaccard similarity S Bag, SK Kumar, MK Tiwari Information Sciences 483, 53-64, 2019 | 370 | 2019 |
Predicting the consumer's purchase intention of durable goods: An attribute-level analysis S Bag, MK Tiwari, FTS Chan Journal of Business Research 94, 408-419, 2019 | 134 | 2019 |
An integrated recommender system for improved accuracy and aggregate diversity S Bag, A Ghadge, MK Tiwari Computers & Industrial Engineering 130, 187-197, 2019 | 71 | 2019 |
A noise correction-based approach to support a recommender system in a highly sparse rating environment S Bag, S Kumar, A Awasthi, MK Tiwari Decision Support Systems 118, 46-57, 2019 | 54 | 2019 |
An efficient fingerprint matching approach based on minutiae to minutiae distance using indexing with effectively lower time complexity S Barman, S Chattopadhyay, D Samanta, S Bag, G Show 2014 International Conference on Information Technology, 179-183, 2014 | 33 | 2014 |
An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning RK Jha, S Bag, D Koley, GR Bojja, S Barman Intelligent Systems with Applications 18, 200218, 2023 | 19 | 2023 |
Mitigating demand risk of durable goods in online retailing A Ghadge, S Bag, M Goswami, MK Tiwari International Journal of Retail & Distribution Management 49 (2), 165-186, 2021 | 18 | 2021 |
Relative similarity based approach for improving aggregate recommendation diversity S Singh, S Bag, M Jenamani 2015 Annual IEEE India Conference (INDICON), 1-6, 2015 | 14 | 2015 |