A. Said and A. Bellogín, Comparative recommender system evaluation, Proceedings of the 8th ACM Conference on Recommender systems, RecSys '14, pp.129-136, 2014.
DOI : 10.1145/2645710.2645746

D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender systems: An introduction, 2010.
DOI : 10.1017/CBO9780511763113

J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl, Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems, vol.22, issue.1, pp.5-53, 2004.
DOI : 10.1145/963770.963772

N. Polatidis and C. K. Georgiadis, A multi-level collaborative filtering method that improves recommendations, Expert Systems with Applications, vol.48, pp.100-110, 2016.
DOI : 10.1016/j.eswa.2015.11.023

S. Owen, R. Anil, T. Dunning, and E. Friedman, Mahout in Action, 2011.

M. D. Ekstrand, M. Ludwig, J. A. Konstan, and J. Riedl, Rethinking the Recommender Research Ecosystem: Reproducibility, Openness, and LensKit. In: Proceedings of the Fifth ACM Conference on Recommender Systems, pp.133-140, 2011.

Z. Gantner and S. Rendle, MyMediaLite, Proceedings of the fifth ACM conference on Recommender systems, RecSys '11, pp.305-308, 2011.
DOI : 10.1145/2043932.2043989

D. Jannach, L. Lerche, F. Gedikli, and G. Bonnin, What Recommenders Recommend ??? An Analysis of Accuracy, Popularity, and Sales Diversity Effects, pp.1-13, 2013.
DOI : 10.1007/978-3-642-38844-6_3

G. Shani and A. Gunawardana, Evaluating Recommendation Systems, Recomm. Syst. Handb, pp.257-298, 2011.
DOI : 10.1007/978-0-387-85820-3_8

J. A. Konstan and G. Adomavicius, Toward identification and adoption of best practices in algorithmic recommender systems research, Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys '13, pp.23-28, 2013.
DOI : 10.1145/2532508.2532513

A. Bellogin, P. Castells, A. Said, and D. Tikk, Workshop on reproducibility and replication in recommender systems evaluation, Proceedings of the 7th ACM conference on Recommender systems, RecSys '13, pp.485-486, 2013.
DOI : 10.1145/2507157.2508006

A. Bellogin, P. Castells, A. Said, and D. Tikk, Report on the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys). SIGIR Forum, pp.29-35, 2014.

J. Beel, C. Breitinger, S. Langer, A. Lommatzsch, and B. Gipp, Towards reproducibility in recommender-systems research, User Modeling and User-Adapted Interaction, vol.47, issue.1, pp.69-101, 2016.
DOI : 10.1145/1864708.1864759

A. Ko?ir, A. Odi?, and M. Tkal?i?, How to improve the statistical power of the 10-fold cross validation scheme in recommender systems, Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys '13, pp.3-6, 2013.
DOI : 10.1145/2532508.2532510

A. Said and A. Bellogín, RiVal ? A Toolkit to Foster Reproducibility in Recommender System Evaluation, Proc. 8th ACM Conf. Recomm. Syst, pp.371-372, 2014.

F. Hernández-del-olmo and E. Gaudioso, Evaluation of recommender systems: A new approach, Expert Systems with Applications, vol.35, issue.3, pp.790-804, 2008.
DOI : 10.1016/j.eswa.2007.07.047

S. Peker and A. Kocyigit, mRHR: A Modified Reciprocal Hit Rank Metric for Ranking Evaluation of Multiple Preferences in Top-N Recommender Systems, Artificial Intelligence: Methodology, Systems, and Applications: 17th International Conference Proceedings. pp, pp.320-329, 2016.
DOI : 10.1145/1040830.1040915

F. M. Harper and J. A. Konstan, The MovieLens Datasets, ACM Transactions on Interactive Intelligent Systems, vol.5, issue.4, pp.1-19, 2015.
DOI : 10.1145/1060745.1060754

N. Polatidis, C. K. Georgiadis, E. Pimenidis, and H. Mouratidis, Privacy-preserving collaborative recommendations based on random 11 perturbations, Expert Syst. Appl, p.71, 2017.

G. Alshammari, J. L. Jorro-aragoneses, S. ?. Kapetanakis, M. Petridis, J. A. Recio-garcia et al., A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems, proceedings of The International Conference in Case-based Reasoning, pp.35-45, 2017.
DOI : 10.14778/2311906.2311916