Composite Alternative Pareto Optimal Recommender System (CAPORS)

William Jeffries, Alexander Brodsky

Abstract

We propose a methodology and present a system for generating composite alternative recommendations combining user-guided continuous improvement with Pareto optimal trade-off considerations. The system consists of (1) a model to generate the recommendation space; (2) metrics for measuring each recommendation; (3) an analytics function for computing composite alternative metrics and constraints; (4) system configuration settings; (5) an algorithm for calculating Pareto optimal curve of recommendations; (6) an algorithm for generating user-guided improvements using relaxed constraints; (6) charting functionality for plotting recommendations; (7) and a user interface for enabling users to accept or improve-upon selected recommendations.

References

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Paper Citation


in Harvard Style

Jeffries W. and Brodsky A. (2017). Composite Alternative Pareto Optimal Recommender System (CAPORS) . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 496-503. DOI: 10.5220/0006277404960503


in Bibtex Style

@conference{iceis17,
author={William Jeffries and Alexander Brodsky},
title={Composite Alternative Pareto Optimal Recommender System (CAPORS)},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={496-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006277404960503},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Composite Alternative Pareto Optimal Recommender System (CAPORS)
SN - 978-989-758-247-9
AU - Jeffries W.
AU - Brodsky A.
PY - 2017
SP - 496
EP - 503
DO - 10.5220/0006277404960503