A Dataset for Inferring Contextual Preferences of Users Watching TV

Miklas Strøm Kristoffersen; Sven Ewan Shepstone; Zheng-Hua Tan

doi:10.1145/3209219.3209263

A Dataset for Inferring Contextual Preferences of Users Watching TV

Miklas Strøm Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

3 Citationer (Scopus)

481 Downloads (Pure)

Abstract

Studies have shown that contextual settings play an important role in users' decision processes of what to consume, but data supporting the investigation of context-aware recommender systems are scarce. In this paper we present a TV consumption dataset enriched with contextual information of viewing situations. The dataset is designed for studying the intrinsic complexity of TV watching activities, and hence we also evaluate the performance of predicting chosen genres given contextual settings, and compare the results to contextless predictions. The results suggest a significant improvement by including contextual features in the prediction.

Originalsprog	Engelsk
Titel	UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization : UMAP '18
Antal sider	2
Udgivelsessted	Singapore, Singapore
Forlag	Association for Computing Machinery
Publikationsdato	3 jul. 2018
Sider	367-368
ISBN (Trykt)	978-1-4503-5589-6/18/07
ISBN (Elektronisk)	9781450355896
DOI	https://doi.org/10.1145/3209219.3209263
Status	Udgivet - 3 jul. 2018
Begivenhed	the 26th Conference on User Modeling, Adaptation and Personalization: U`Map 18 - Singapore, Singapore Varighed: 8 jul. 2018 → 11 jun. 2019

Konference

Konference	the 26th Conference on User Modeling, Adaptation and Personalization
Land/Område	Singapore
By	Singapore
Periode	08/07/2018 → 11/06/2019

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10.1145/3209219.3209263

UMAP18_Kristoffersen

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Contextual TV dataset
Kristoffersen, M. S. (Ophavsperson), Shepstone, S. E. (Ophavsperson) & Tan, Z. (Ophavsperson), VBN, 23 dec. 2020
DOI: 10.5278/28080cdd-6549-4cd6-8b46-e4d48c577937
Datasæt

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Citationsformater

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title = "A Dataset for Inferring Contextual Preferences of Users Watching TV",

abstract = "Studies have shown that contextual settings play an important role in users' decision processes of what to consume, but data supporting the investigation of context-aware recommender systems are scarce. In this paper we present a TV consumption dataset enriched with contextual information of viewing situations. The dataset is designed for studying the intrinsic complexity of TV watching activities, and hence we also evaluate the performance of predicting chosen genres given contextual settings, and compare the results to contextless predictions. The results suggest a significant improvement by including contextual features in the prediction.",

keywords = "Context-Awareness, Dataset, Experience Sampling, Machine Learning, Recommender Systems, Television",

author = "Kristoffersen, {Miklas Str{\o}m} and Shepstone, {Sven Ewan} and Zheng-Hua Tan",

year = "2018",

month = jul,

day = "3",

doi = "10.1145/3209219.3209263",

language = "English",

isbn = "978-1-4503-5589-6/18/07",

pages = "367--368",

booktitle = "UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization",

publisher = "Association for Computing Machinery",

address = "United States",

note = " the 26th Conference on User Modeling, Adaptation and Personalization : U`Map 18 ; Conference date: 08-07-2018 Through 11-06-2019",

}

Kristoffersen, MS, Shepstone, SE & Tan, Z-H 2018, A Dataset for Inferring Contextual Preferences of Users Watching TV. i UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization: UMAP '18. Association for Computing Machinery, Singapore, Singapore, s. 367-368, the 26th Conference on User Modeling, Adaptation and Personalization, Singapore, Singapore, 08/07/2018. https://doi.org/10.1145/3209219.3209263

A Dataset for Inferring Contextual Preferences of Users Watching TV. / Kristoffersen, Miklas Strøm; Shepstone, Sven Ewan; Tan, Zheng-Hua.
UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization: UMAP '18. Singapore, Singapore: Association for Computing Machinery, 2018. s. 367-368.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - A Dataset for Inferring Contextual Preferences of Users Watching TV

AU - Kristoffersen, Miklas Strøm

AU - Shepstone, Sven Ewan

AU - Tan, Zheng-Hua

PY - 2018/7/3

Y1 - 2018/7/3

N2 - Studies have shown that contextual settings play an important role in users' decision processes of what to consume, but data supporting the investigation of context-aware recommender systems are scarce. In this paper we present a TV consumption dataset enriched with contextual information of viewing situations. The dataset is designed for studying the intrinsic complexity of TV watching activities, and hence we also evaluate the performance of predicting chosen genres given contextual settings, and compare the results to contextless predictions. The results suggest a significant improvement by including contextual features in the prediction.

AB - Studies have shown that contextual settings play an important role in users' decision processes of what to consume, but data supporting the investigation of context-aware recommender systems are scarce. In this paper we present a TV consumption dataset enriched with contextual information of viewing situations. The dataset is designed for studying the intrinsic complexity of TV watching activities, and hence we also evaluate the performance of predicting chosen genres given contextual settings, and compare the results to contextless predictions. The results suggest a significant improvement by including contextual features in the prediction.

KW - Context-Awareness

KW - Dataset

KW - Experience Sampling

KW - Machine Learning

KW - Recommender Systems

KW - Television

UR - http://www.scopus.com/inward/record.url?scp=85051723348&partnerID=8YFLogxK

U2 - 10.1145/3209219.3209263

DO - 10.1145/3209219.3209263

M3 - Article in proceeding

SN - 978-1-4503-5589-6/18/07

SP - 367

EP - 368

BT - UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization

PB - Association for Computing Machinery

CY - Singapore, Singapore

T2 - the 26th Conference on User Modeling, Adaptation and Personalization

Y2 - 8 July 2018 through 11 June 2019

ER -

A Dataset for Inferring Contextual Preferences of Users Watching TV

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Contextual TV dataset

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