An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems

Kushal Dave; Malek Mouhoub

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Paper

An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems

Topics: Conceptual Modeling; Decision Support Systems

In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH - Volume 1, 288-295, 2022 , Lisbon, Portugal

Authors: Kushal Dave and Malek Mouhoub

Affiliation: Department of Computer Science, University of Regina, Regina, SK, Canada

Keyword(s): Recommender System, CP-net, Membership Query, Preference Eliciation, Dictionary.

Abstract: We propose a new interactive system for eliciting and learning users’ qualitative preferences. These preferences are modelled as a conditional preference network (CP-net). The CP-net is a known graphical model representing qualitative and conditional preferences in a compact form. User’s preferences are first captured through a learning method based on membership queries. These preferences are then compiled into a list of conditional preference statements. The CP-net is finaly generated from this list. We are also incorporating a collaborative technique so that when a CP-net of a given user is generated, the latter will receive suggestions based on similarities with other users.

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Paper citation in several formats:

Dave, K. and Mouhoub, M. (2022). An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems. In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-578-4; ISSN 2184-2841, SciTePress, pages 288-295. DOI: 10.5220/0011292000003274

@conference{simultech22,
author={Kushal Dave. and Malek Mouhoub.},
title={An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems},
booktitle={Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2022},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011292000003274},
isbn={978-989-758-578-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems
SN - 978-989-758-578-4
IS - 2184-2841
AU - Dave, K.
AU - Mouhoub, M.
PY - 2022
SP - 288
EP - 295
DO - 10.5220/0011292000003274
PB - SciTePress