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

Kushal Dave, Malek Mouhoub

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: SIMULTECH, ISBN 978-989-758-578-4, pages 288-295. DOI: 10.5220/0011292000003274

in Bibtex Style

@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 - Volume 1: SIMULTECH,},
year={2022},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011292000003274},
isbn={978-989-758-578-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - An Interactive System for Capturing Users’ Qualitative Preferences in Recommender Systems
SN - 978-989-758-578-4
AU - Dave K.
AU - Mouhoub M.
PY - 2022
SP - 288
EP - 295
DO - 10.5220/0011292000003274