Context-aware recommender systems for learning: a survey and future challenges K Verbert, N Manouselis, X Ochoa, M Wolpers, H Drachsler, I Bosnic, ... IEEE transactions on learning technologies 5 (4), 318-335, 2012 | 767 | 2012 |
Recommender systems in technology enhanced learning N Manouselis, H Drachsler, R Vuorikari, H Hummel, R Koper Recommender systems handbook, 387-415, 2011 | 639 | 2011 |
Multi-criteria recommender systems G Adomavicius, N Manouselis, YO Kwon Recommender systems handbook, 769-803, 2010 | 455 | 2010 |
Panorama of recommender systems to support learning H Drachsler, K Verbert, OC Santos, N Manouselis Recommender systems handbook, 421-451, 2015 | 332 | 2015 |
Analysis and classification of multi-criteria recommender systems N Manouselis, C Costopoulou World Wide Web 10, 415-441, 2007 | 285 | 2007 |
Dataset-driven research to support learning and knowledge analytics K Verbert, N Manouselis, H Drachsler, E Duval Journal of Educational Technology & Society 15 (3), 133-148, 2012 | 264 | 2012 |
Recommender systems for learning N Manouselis, H Drachsler, K Verbert, E Duval Springer Science & Business Media, 2012 | 245 | 2012 |
Dataset-driven research for improving recommender systems for learning K Verbert, H Drachsler, N Manouselis, M Wolpers, R Vuorikari, E Duval Proceedings of the 1st international conference on learning analytics and …, 2011 | 237 | 2011 |
Collaborative recommendation of e‐learning resources: an experimental investigation N Manouselis, R Vuorikari, F Van Assche Journal of Computer Assisted Learning 26 (4), 227-242, 2010 | 156 | 2010 |
Open educational resources repositories literature review–Towards a comprehensive quality approaches framework K Clements, J Pawlowski, N Manouselis Computers in human behavior 51, 1098-1106, 2015 | 147 | 2015 |
An overview of learning object repositories A Tzikopoulos, N Manouselis, R Vuorikari Learning objects for instruction: Design and evaluation, 29-55, 2007 | 123 | 2007 |
Experimental analysis of design choices in multiattribute utility collaborative filtering N Manouselis, C Costopoulou International Journal of Pattern Recognition and Artificial Intelligence 21 …, 2007 | 113 | 2007 |
Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning H Drachsler, T Bogers, R Vuorikari, K Verbert, E Duval, N Manouselis, ... Procedia Computer Science 1 (2), 2849-2858, 2010 | 96 | 2010 |
Simulated analysis of MAUT collaborative filtering for learning object recommendation N Manouselis, R Vuorikari, F Van Assche Proceedings of the 1st Workshop on Social Information Retrieval for …, 2007 | 77 | 2007 |
Metadata quality in learning object repositories: a case study N Palavitsinis, N Manouselis, S Sanchez-Alonso The Electronic Library 32 (1), 62-82, 2014 | 66 | 2014 |
Dynamic knowledge route selection for personalised learning environments using multiple criteria N Manouselis, D Sampson APPLIED INFORMATICS-PROCEEDINGS-, 448-453, 2002 | 63 | 2002 |
Using metadata for storing, sharing and reusing evaluations for social recommendations: the case of learning resources R Vuorikari, N Manouselis, E Duval Social information retrieval systems: Emerging technologies and applications …, 2008 | 51 | 2008 |
Metadata interoperability in agricultural learning repositories: An analysis N Manouselis, J Najjar, K Kastrantas, G Salokhe, CM Stracke, E Duval Computers and Electronics in Agriculture 70 (2), 302-320, 2010 | 40 | 2010 |
Architecture of the Organic. Edunet web portal N Manouselis, K Kastrantas, S Sanchez-Alonso, J Cáceres, H Ebner, ... International Journal of Web Portals (IJWP) 1 (1), 71-91, 2009 | 38 | 2009 |
Metadata for digital collections of e‐government resources E Tambouris, N Manouselis, C Costopoulou The Electronic Library 25 (2), 176-192, 2007 | 38 | 2007 |