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Authors: Le Nguyen Hoai Nam 1 ; 2

Affiliations: 1 Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam ; 2 VietNam National University, Ho Chi Minh City, Vietnam

Keyword(s): Group Recommendation, Neighbor-Based Recommendation, Collaborative Filtering, Recommender System.

Abstract: The Increasing Trend of Group Activities Has Led to Changes in Recommender Systems, Shifting from Recommending Individual Users to Recommending Groups of Users. a Group Recommender System Consists of Two Primary Stages: Aggregating the Profiles of all Group Members to Create a Virtual User and Providing Recommendations to This Virtual User. This Paper Focuses on the Stage of Recommending the Virtual User. Specifically, Our Proposed Approach Aims to Recommend the Virtual User to Achieve a Harmonious Balance Among the Diverse Preferences of Group Members by Combining the Profiles of Group Members with that of the Virtual User. Additionally, We Integrate Textual Comments Observed from Users to Further Enhance the Accuracy of Group Recommendations. Experiments Conducted on Three Popular Datasets from Amazon Have Demonstrated the Effectiveness of the Proposed Approach in Terms of the F1-Score.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Nguyen Hoai Nam, L. (2023). Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR; ISBN 978-989-758-671-2; ISSN 2184-3228, SciTePress, pages 306-314. DOI: 10.5220/0012184700003598

@conference{kdir23,
author={Le {Nguyen Hoai Nam}},
title={Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR},
year={2023},
pages={306-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012184700003598},
isbn={978-989-758-671-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR
TI - Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems
SN - 978-989-758-671-2
IS - 2184-3228
AU - Nguyen Hoai Nam, L.
PY - 2023
SP - 306
EP - 314
DO - 10.5220/0012184700003598
PB - SciTePress

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