| DNNRec: A novel deep learning based hybrid recommender system R Kiran, P Kumar, B Bhasker Expert Systems with Applications 144, 113054, 2020 | 169 | 2020 |
| A web recommendation system considering sequential information R Mishra, P Kumar, B Bhasker Decision Support Systems 75, 1-10, 2015 | 127 | 2015 |
| Electronic commerce: framework, technologies and applications B Bhasker Tata McGraw-Hill, 2006 | 103 | 2006 |
| Product classification in the Internet business—a fuzzy approach BK Mohanty, B Bhasker Decision support systems 38 (4), 611-619, 2005 | 70 | 2005 |
| Interplay between trust, information privacy concerns and behavioural intention of users on online social networks S Kumar, P Kumar, B Bhasker Behaviour & Information Technology 37 (6), 622-633, 2018 | 49 | 2018 |
| Personalized recommender system using entropy based collaborative filtering technique H Chandrashekhar, B Bhasker Journal of Electronic Commerce Research 12 (3), 214, 2011 | 42 | 2011 |
| HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks M Gupta, P Kumar, B Bhasker Expert Systems with Applications 68, 106-122, 2017 | 39 | 2017 |
| OSLCFit (organic simultaneous LSTM and CNN Fit): a novel deep learning based solution for sentiment polarity classification of reviews R Kiran, P Kumar, B Bhasker Expert Systems with Applications 157, 113488, 2020 | 38 | 2020 |
| Recommender Systems in e-Commerce B Bhasker, K Srikumar McGraw-Hill Education, 2010 | 36* | 2010 |
| Personalized product selection in Internet business K Srikumar, B Bhasker Journal of Electronic Commerce Research 5 (4), 216-227, 2004 | 36 | 2004 |
| An upper approximation based community detection algorithm for complex networks P Kumar, S Gupta, B Bhasker Decision Support Systems 96, 103-118, 2017 | 32 | 2017 |
| Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution K Rama, P Kumar, B Bhasker Neural Computing and Applications 33 (21), 14167-14177, 2021 | 22 | 2021 |
| Personalised recommendations in e-commerce K Srikumar, B Bhasker International journal of electronic business 3 (1), 4-27, 2005 | 22 | 2005 |
| A query processing algorithm for a system of heterogeneous distributed databases CJ Egyhazy, KP Triantis, B Bhasker Distributed and Parallel Databases 4, 49-79, 1996 | 20 | 1996 |
| Quickly locating efficient, equitable deals in automated negotiations under two-sided information uncertainty H Chandrashekhar, B Bhasker Decision Support Systems 52 (1), 157-168, 2011 | 17 | 2011 |
| A rough connectedness algorithm for mining communities in complex networks S Gupta, P Kumar, B Bhasker Big Data Analytics and Knowledge Discovery: 18th International Conference …, 2016 | 13 | 2016 |
| DPRel: a meta-path based relevance measure for mining heterogeneous networks M Gupta, P Kumar, B Bhasker Information Systems Frontiers 21, 979-995, 2019 | 12 | 2019 |
| Deep learning to address candidate generation and cold start challenges in recommender systems: A research survey K Rama, P Kumar, B Bhasker arXiv preprint arXiv:1907.08674, 2019 | 12 | 2019 |
| An alternative approach for clustering web user sessions considering sequential information R Mishra, P Kumar, B Bhasker Intelligent Data Analysis 18 (2), 137-156, 2014 | 11 | 2014 |
| Metamorphosis: mining maximal frequent sets in dense domains K Srikumar, B Bhasker International Journal on Artificial Intelligence Tools 14 (03), 491-505, 2005 | 11 | 2005 |
Dr Pradeep KumarProfessor, Indian Institute of Management, Lucknow在 iiml.ac.in 的电子邮件经过验证
