Enhanced multi-criteria recommender system based on fuzzy Bayesian approach

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Adomavičius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,347 · see citing works

Empirical Analysis of Predictive Algorithms for Collaborative FilteringPreprint

Breese, J. S., Heckerman, D. E., & Kadie, C. M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7363 · Cited by 4,768 · see citing works

Fab: content-based, collaborative recommendation

Balabanović, M., & Shoham, Y. (1997) · Communications of the ACM · doi:10.1145/245108.245124 · Cited by 2,934 · see citing works

Multicriteria Methodology for Decision Aiding

French, S. D. (1997) · Journal of the Operational Research Society · doi:10.1038/sj.jors.2600981 · Cited by 1,285 · see citing works

New Recommendation Techniques for Multicriteria Rating Systems

Adomavičius, G., & Kwon, Y. (2007) · IEEE Intelligent Systems · doi:10.1109/mis.2007.58 · Cited by 509 · see citing works

Latent Class Models for Collaborative Filtering

Hofmann, T., & Puzicha, J. (1999) · Cited by 429 · see citing works

Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)

(2013) · doi:10.48550/arxiv.1304.3844 · Cited by 380 · see citing works

Collaborative Filtering with the Simple Bayesian Classifier

Miyahara, K., & Pazzani, M. J. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44533-1_68 · Cited by 299 · see citing works

Multi-Criteria Recommender Systems

Adomavičius, G., & Kwon, Y. (2015) · Springer eBooks · doi:10.1007/978-1-4899-7637-6_25 · Cited by 221 · see citing works

Fuzzy logic methods in recommender systems

Yager, R. R. (2003) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(02)00223-3 · Cited by 215 · see citing works

Analysis and Classification of Multi-Criteria Recommender Systems

Manouselis, N., & Costopoulou, C. I. (2007) · World Wide Web · doi:10.1007/s11280-007-0019-8 · Cited by 198 · see citing works

Fuzzy-genetic approach to recommender systems based on a novel hybrid user model

Al-Shamri, M. Y. H., & Bharadwaj, K. K. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.08.016 · Cited by 196 · see citing works

Representation, similarity measures and aggregation methods using fuzzy sets for content-based recommender systems

Zenebe, A., & Norcio, A. F. (2008) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2008.03.017 · Cited by 175 · see citing works

Fuzzy computational models for trust and reputation systems

(2008) · doi:10.1016/j.elerap.2008.08.001 · Cited by 161 · see citing works

Accuracy improvements for multi-criteria recommender systems

Jannach, D., Karakaya, Z., & Gedikli, F. (2012) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/2229012.2229065 · Cited by 141 · see citing works

Clustering- and regression-based multi-criteria collaborative filtering with incremental updates

Nilashi, M., Jannach, D., Ibrahim, O., et al. (2014) · Information Sciences · doi:10.1016/j.ins.2014.09.012 · Cited by 111 · see citing works

A collaborative recommender system enhanced with particle swarm optimization technique

Katarya, R., & Verma, O. P. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3481-4 · Cited by 95 · see citing works

Correcting noisy ratings in collaborative recommender systems

Yera, R., Mota, Y. C., & Martínez, L. M. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2014.12.011 · Cited by 83 · see citing works

Bayesian adaptive user profiling with explicit & implicit feedback

Zigoris, P., & Zhang, Y. (2006) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1183614.1183672 · Cited by 73 · see citing works

e‐Learning recommender system for a group of learners based on the unified learner profile approach

Dwivedi, P., & Bharadwaj, K. K. (2013) · Expert Systems · doi:10.1111/exsy.12061 · Cited by 69 · see citing works

Fuzzy Computational Models of Trust and Distrust for Enhanced Recommendations

Kant, V., & Bharadwaj, K. K. (2013) · International Journal of Intelligent Systems · doi:10.1002/int.21579 · Cited by 56 · see citing works

UTA-Rec

Lakiotaki, K., Tsafarakis, S., & Matsatsinis, N. F. (2008) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1454008.1454043 · Cited by 53 · see citing works

A collaborative recommender system based on probabilistic inference from fuzzy observations

de Campos, L. M., Fernández-Luna, J. M., & Huete, J. F. (2008) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2008.01.016 · Cited by 50 · see citing works

Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels.

Dwivedi, P., & Bharadwaj, K. K. (2013) · Educational Technology & Society · Cited by 49 · see citing works

A multi-criteria recommendation system using dimensionality reduction and Neuro-Fuzzy techniques

Nilashi, M., Ibrahim, O., Ithnin, N., et al. (2014) · Soft Computing · doi:10.1007/s00500-014-1475-6 · Cited by 47 · see citing works

Pruning trust–distrust network via reliability and risk estimates for quality recommendations

Anand, D., & Bharadwaj, K. K. (2012) · Social Network Analysis and Mining · doi:10.1007/s13278-012-0049-9 · Cited by 37 · see citing works

Integrating Collaborative and Reclusive Methods for Effective Recommendations: A Fuzzy Bayesian Approach

Kant, V., & Bharadwaj, K. K. (2013) · International Journal of Intelligent Systems · doi:10.1002/int.21619 · Cited by 24 · see citing works

Recommender system design using movie genre similarity and preferred genres in SmartPhone

Kim, K.-R., & Moon, N. (2011) · Multimedia Tools and Applications · doi:10.1007/s11042-011-0728-y · Cited by 19 · see citing works

Collaborative Filtering Using Interval Estimation Naïve Bayes

Robles, V., Larrañaga, P., Peña, J. M., et al. (2007) · Springer eBooks · doi:10.1007/3-540-44831-4_6 · Cited by 14 · see citing works

A fuzzy Bayesian approach to integrate user and item based collaborating filtering for enhanced recommendations

Kant, V., & Dwivedi, P. (2015) · International Conference on Information Integration and Web-based Applications & Services (iiWAS) · doi:10.1145/2837185.2837209 · Cited by 3 · see citing works

Machine culture

Brinkmann, L., Baumann, F., Bonnefon, J.-F., Derex, M., Müller, T. F., Nussberger, A.-M., Czaplicka, A., Acerbi, A., Griffiths, T. L., Henrich, J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01742-2 · Cited by 132 · see citing works

A Review on Content Based Recommender Systems in Tourism

(2021) · doi:10.1007/978-3-030-73882-2_48 · Cited by 3 · see citing works

Weighted hybrid technique for recommender system

Suriati, S., Dwiastuti, M., & Tulus, T. (2017) · Journal of Physics Conference Series · doi:10.1088/1742-6596/930/1/012050 · Cited by 19 · see citing works

Design of Garment Style Recommendation System Based on Interactive Genetic Algorithm

Zhao, Y. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/9132165 · Cited by 9 · see citing works

Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce

Panniello, U., Gorgoglione, M., & Palmisano, C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03964-5_32 · Cited by 13 · see citing works

Facebook Based Choice Filtering

Gupta, A., Budania, H., Singh, P., et al. (2017) · IEEE International Advance Computing Conference · doi:10.1109/iacc.2017.0179 · Cited by 5 · see citing works