SCoR Recommender System
This is an implementation of SCoR method [1].
SCoR is a Synthetic Coordinate based Recommendation system which is shown to outperform the most popular
algorithmic techniques in the field, approaches like matrix factorization and collaborative filtering.
More details can be found in http://netdilab.space/
https://sites.google.com/site/netdilab/
and in https://sites.google.com/site/costaspanagiotakis/
You can use it only for non-commercial purposes.
We will appreciate if you cite our paper [1] in your work:.
The code of .java files is written by H. Papadakis.
[1] H. Papadakis, C. Panagiotakis and P. Fragopoulou, SCoR: A Synthetic Coordinate
based Recommender System, Expert Systems with Applications, vol. 79, pp.8-19, 2017.
Cite As
Costas Panagiotakis (2024). SCoR Recommender System (https://www.mathworks.com/matlabcentral/fileexchange/67630-scor-recommender-system), MATLAB Central File Exchange. Retrieved .
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1.0.0.0 | readme update
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