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Detail publikace

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis

DE LEON MARTINEZ, S. MORO, R. BIELIKOVÁ, M.

Originální název

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální 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 

Autoři

DE LEON MARTINEZ, S.; MORO, R.; BIELIKOVÁ, M.

Vydáno

30. 3. 2023

Nakladatel

Association for Computing Machinery

Místo

New York, NY

ISBN

979-8-4007-0150-4

Kniha

ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications

Strany od

1

Strany do

3

Strany počet

3

URL

https://dl.acm.org/doi/10.1145/3588015.3589511

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"
}