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Authors: William Jeffries and Alexander Brodsky

Affiliation: George Mason University, United States

Keyword(s): Recommender Systems, Decision Guidance, Decision Optimization, Pareto Optimum.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Operational Research ; Strategic Decision Support Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: We propose a methodology and develop a system for generating composite alternative recommendations combining user-guided continuous improvement with Pareto optimal trade-off considerations and for extracting individual utility. The methodology describes a way to (1) construct a set of Pareto optimal recommendations given a selected metric and the user’s current utility, (2) explore the feasibility space by relaxing the Pareto optimal constraint in a given dimension, and (3) extract the utility for an individual user by capturing the interactions between the user and the system. The system itself consists of (1) a mechanism for generating feasible recommendations, (2) implementation of the key algorithms of the methodology, and (3) user interface for enabling interaction with the user.

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Paper citation in several formats:
Jeffries, W. and Brodsky, A. (2018). Composite Alternative Pareto Optimal Recommendation System with Individual Utility Extraction (CAPORS-IUX) . In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 328-335. DOI: 10.5220/0006770403280335

@conference{iceis18,
author={William Jeffries. and Alexander Brodsky.},
title={Composite Alternative Pareto Optimal Recommendation System with Individual Utility Extraction (CAPORS-IUX) },
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={328-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006770403280335},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Composite Alternative Pareto Optimal Recommendation System with Individual Utility Extraction (CAPORS-IUX)
SN - 978-989-758-298-1
IS - 2184-4992
AU - Jeffries, W.
AU - Brodsky, A.
PY - 2018
SP - 328
EP - 335
DO - 10.5220/0006770403280335
PB - SciTePress

- Science and Technology Publications, Lda.
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