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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

480 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.

Original language	English
Title of host publication	UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization : UMAP '18
Number of pages	2
Place of Publication	Singapore, Singapore
Publisher	Association for Computing Machinery
Publication date	3 Jul 2018
Pages	367-368
ISBN (Print)	978-1-4503-5589-6/18/07
ISBN (Electronic)	9781450355896
DOIs	https://doi.org/10.1145/3209219.3209263
Publication status	Published - 3 Jul 2018
Event	the 26th Conference on User Modeling, Adaptation and Personalization: U`Map 18 - Singapore, Singapore Duration: 8 Jul 2018 → 11 Jun 2019

Conference

Conference	the 26th Conference on User Modeling, Adaptation and Personalization
Country/Territory	Singapore
City	Singapore
Period	08/07/2018 → 11/06/2019

Keywords

Context-Awareness
Dataset
Experience Sampling
Machine Learning
Recommender Systems
Television

Access to Document

10.1145/3209219.3209263

UMAP18_Kristoffersen

AUB Link

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Cite this

@inproceedings{6feb4a45469846fdb30a3083f149faec,

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. in UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization: UMAP '18. Association for Computing Machinery, Singapore, Singapore, pp. 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. p. 367-368.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

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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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Contextual TV dataset

Cite this

A Dataset for Inferring Contextual Preferences of Users Watching TV

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Datasets

Contextual TV dataset

Cite this