Adaptive neuro-fuzzy pedagogical recommender

Authors:
Zoran Sevarac;Vladan Devedzic;Jelena Jovanovic
Affiliations:
Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia;Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia;Department of Software Engineering, Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 16
Cited 2

Perceptrons, adalines, and backpropagation

The handbook of brain theory and neural networks
Intelligent Student Profiling with Fuzzy Models

HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Evaluating collaborative filtering recommender systems

ACM Transactions on Information Systems (TOIS)
Selective Markov models for predicting Web page accesses

ACM Transactions on Internet Technology (TOIT)
Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis

Information Sciences—Informatics and Computer Science: An International Journal
Neuro Fuzzy Reasoner for Student Modeling

ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Combining social-based and information-based approaches for personalised recommendation on sequencing learning activities

International Journal of Learning Technology
Matrix Factorization Techniques for Recommender Systems

Computer
Technical paper recommendation: a study in combining multiple information sources

Journal of Artificial Intelligence Research
Can Educators Develop Ontologies Using Ontology Extraction Tools: An End-User Study

EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Empirical analysis of predictive algorithms for collaborative filtering

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Alleviating the sparsity problem of collaborative filtering using trust inferences

iTrust'05 Proceedings of the Third international conference on Trust Management
Semi-supervised tag recommendation - using untagged resources to mitigate cold-start problems

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
MIN and MAX Operators for Fuzzy Intervals and Their Potential Use in Aggregation Operators

IEEE Transactions on Fuzzy Systems
A framework for collaborative filtering recommender systems

Expert Systems with Applications: An International Journal

Recommender systems survey

Knowledge-Based Systems
Hybrid recommendation approaches for multi-criteria collaborative filtering

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

Neuro-Fuzzy Pedagogical Recommender (NFPR) is adaptive recommender based on neuro-fuzzy inference, that can be used to create pedagogical rules in Technology Enhanced Learning (TEL) systems. NFPR is domain independent, provides easy to use API for integration with other systems, and comes with specialized tool (wizard) for creation of NFPR software components. The most important feature of NFPR is its flexibility, that allows teachers to create their own set of pedagogical rules. The proposed model has been implemented and tested with simulated data. Our effort in bringing neuro-fuzzy recommender to the field of TEL (Technology Enhanced Learning) seems to be the first attempt of its kind.