Classification of Video Viewing Task Types and Recommendation of Videos

Tatsuro Ide, Hiroshi Hosobe

2022

Abstract

YouTube is one of the largest and most sophisticated recommendation systems and a useful source of information for users. In video search on YouTube, even the same user may have different purposes in mind depending on the user’s state. However, videos are recommended based on the relevance of videos and the user's viewing history, regardless of the user's state. This paper proposes a classification of video viewing task types based on the user’s behavioral characteristics. By classifying the user's purpose as a task type, it enables higher-order recommendation that fits the task type. Behavioral characteristics are momentary characteristics of the user that appear from actions such as screen scrolling. The system implicitly records the user’s actions, classifies the task type based on these parameters, and recommends the related video list on a mobile application that imitates YouTube. We conducted experiments to evaluate classification of task types and recommendation of videos.

Paper Citation

in Harvard Style

Ide T. and Hosobe H. (2022). Classification of Video Viewing Task Types and Recommendation of Videos. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 373-380. DOI: 10.5220/0010824700003116

in Bibtex Style

@conference{icaart22,
author={Tatsuro Ide and Hiroshi Hosobe},
title={Classification of Video Viewing Task Types and Recommendation of Videos},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={373-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010824700003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Classification of Video Viewing Task Types and Recommendation of Videos
SN - 978-989-758-547-0
AU - Ide T.
AU - Hosobe H.
PY - 2022
SP - 373
EP - 380
DO - 10.5220/0010824700003116