SCoR Recommender System

A Synthetic Coordinate based Recommender System
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Updated 7 Jun 2018

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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 .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
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Version Published Release Notes
1.0.0.0

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