| Fuzzy-genetic approach to recommender systems based on a novel hybrid user model MYH Al-Shamri, KK Bharadwaj Expert systems with applications 35 (3), 1386-1399, 2008 | 277 | 2008 |
| User profiling approaches for demographic recommender systems MYH Al-Shamri Knowledge-Based Systems 100, 175-187, 2016 | 226 | 2016 |
| Fuzzy computational models for trust and reputation systems KK Bharadwaj, MYH Al-Shamri Electronic commerce research and applications 8 (1), 37-47, 2009 | 201 | 2009 |
| Power coefficient as a similarity measure for memory-based collaborative recommender systems MYH Al-Shamri Expert Systems with Applications 41 (13), 5680-5688, 2014 | 90 | 2014 |
| Hybrid deep‐learning and machine‐learning models for predicting COVID‐19 TS Qaid, H Mazaar, MYH Al-Shamri, MS Alqahtani, AA Raweh, ... Computational intelligence and neuroscience 2021 (1), 9996737, 2021 | 50 | 2021 |
| Fuzzy-weighted similarity measures for memory-based collaborative recommender systems MYH Al-Shamri, NH Al-Ashwal Journal of Intelligent Learning Systems and Applications 6 (1), 1-10, 2014 | 37 | 2014 |
| A multi-criteria collaborative filtering recommender system using learning-to-rank and rank aggregation A Kouadria, O Nouali, MYH Al-Shamri Arabian Journal for Science and Engineering 45, 2835-2845, 2020 | 36 | 2020 |
| A compact user model for hybrid movie recommender system MYH Al-Shamri, KK Bharadwaj International Conference on Computational Intelligence and Multimedia …, 2007 | 21* | 2007 |
| A novel hybrid clustering analysis based on combination of k-means and pso algorithm ER Krishna, N Devarakonda, MYH Al-Shamri, D Revathi Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2021, 139-150, 2022 | 12 | 2022 |
| Effect of Collaborative Recommender System Parameters: Common Set Cardinality and the Similarity Measure MYH Al-Shamri Advances in Artificial Intelligence 2016 (2016), 10 pages, 2016 | 9 | 2016 |
| Fuzzy Weighted Pearson Correlation Coefficient for Collaborative Recommender System MYH Al-Shamri, NH Al-Ashwal 15th International Conference on Enterprise Information Systems, 2013 | 8 | 2013 |
| New image transmission schemes for DST-based MC-CDMA system FS Al-Kamali, AF Al-Junaid, MYH Al-Shamri Arabian Journal for Science and Engineering 46 (2), 1465-1479, 2021 | 7 | 2021 |
| Similarity modifiers for enhancing the recommender system performance MYH Al-Shamri Applied Intelligence 52 (8), 8534-8550, 2022 | 6 | 2022 |
| Vertical and horizontal DNA differential methylation analysis for predicting breast cancer AF Al-Juniad, TS Qaid, MYH Al-Shamri, MHA Ahmed, AA Raweh IEEE Access 6, 53533-53545, 2018 | 6 | 2018 |
| A Hybrid Preference-based Recommender System Based on Fuzzy Concordance/Discordance Principle. MYH Al-Shamri, KK Bharadwaj IICAI, 301-314, 2007 | 5 | 2007 |
| Cascaded Feature Selection for Enhancing the Performance of Collaborative Recommender System MYH Al-Shamri, AF Al-Juniad, TS Qaid, MHA Ahmed, AA Raweh Advances in Electrical and Computer Engineering 18 (4), 23-34, 2018 | 2 | 2018 |
| Fuzzy and genetic algorithim approaches to recommender systems MYH Al-Shamri Jawaharlal Nehru University, New Delhi, India, 2008 | 2 | 2008 |
| Secure image transmission through LTE wireless communications systems FAK Al-Fahaidy, R AL-Bouthigy, MYH Al-Shamri, S Abdulkareem EURASIP Journal on Image and Video Processing 2024 (1), 3, 2024 | 1 | 2024 |
| Rating scale preferences for accurate recommendations MYH Al-Shamri Data & Knowledge Engineering 145, 102156, 2023 | 1 | 2023 |
| Similarity Measures for Recommender Systems: Drawbacks and Neighbors Formation M Al-Shamri | 1 | 2022 |
Talal QaidAssistant Professor at Maharishi International UniversityVerified email at miu.edu
