Detail výsledku
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis
DE LEON MARTINEZ, S.; MORO, R.; BIELIKOVÁ, M. Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis. In ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications. New York, NY: Association for Computing Machinery, 2023. p. 1-3. ISBN: 979-8-4007-0150-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Abstrakt
Eye tracking in recommender systems can provide an additional
source of implicit feedback, while helping to evaluate other sources
of feedback. In this study, we use eye tracking data to inform a
collaborative filtering model for movie recommendation providing
an improvement over the click-based implementations and additionally analyze the area of interest (AOI) duration as related to
the known information of click data and movies seen previously,
showing AOI information consistently coincides with these items
of interest
Klíčová slova
Eye Tracking, Recommender Systems, Collaborative Filtering, AOI
Processing, Movie Recommendation, Implicit Feedback
URL
Rok
2023
Strany
1–3
Sborník
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications
Konference
Eye Tracking Research & Applications (ETRA) 2023
ISBN
979-8-4007-0150-4
Vydavatel
Association for Computing Machinery
Místo
New York, NY
DOI
UT WoS
001031497300074
EID Scopus
BibTeX
@inproceedings{BUT184811,
author="DE LEON MARTINEZ, S. and MORO, R. and BIELIKOVÁ, M.",
title="Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis",
booktitle="ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications",
year="2023",
pages="1--3",
publisher="Association for Computing Machinery",
address="New York, NY",
doi="10.1145/3588015.3589511",
isbn="979-8-4007-0150-4",
url="https://dl.acm.org/doi/10.1145/3588015.3589511"
}
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