Does weather matter?: Causal analysis of TV logs

Shi Zong; Branislav Kveton; Shlomo Berkovsky; Azin Ashkan; Nikos Vlassis; Zheng Wen

doi:10.1145/3041021.3054221

Does weather matter? Causal analysis of TV logs

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

5 Downloads (Pure)

Abstract

Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evidence and the abundance of data, weather has mostly been overlooked in the machine learning and data science research. This work presents a causal analysis of how weather affects TV watching patterns. We show that some weather attributes, such as pressure and precipitation, cause major changes in TV watching patterns. To the best of our knowledge, this is the first large-scale causal study of the impact of weather on TV watching patterns.

Original language	English
Title of host publication	WWW '17 Companion
Subtitle of host publication	Proceedings of the 26th International Conference on World Wide Web Companion
Publisher	Association for Computing Machinery (ACM)
Pages	883-884
Number of pages	2
ISBN (Electronic)	9781450349147
DOIs	https://doi.org/10.1145/3041021.3054221
Publication status	Published - 2017
Externally published	Yes
Event	26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017

Conference

Conference	26th International World Wide Web Conference, WWW 2017 Companion
Country	Australia
City	Perth
Period	3/04/17 → 7/04/17

Bibliographical note

Copyright 2017 International World Wide Web Conference Committee. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.1145/3041021.3054221

Publisher version (open access)Final published version, 821 KBLicence: CC BY

Link to publication in Scopus

Cite this

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title = "Does weather matter?: Causal analysis of TV logs",

abstract = "Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evidence and the abundance of data, weather has mostly been overlooked in the machine learning and data science research. This work presents a causal analysis of how weather affects TV watching patterns. We show that some weather attributes, such as pressure and precipitation, cause major changes in TV watching patterns. To the best of our knowledge, this is the first large-scale causal study of the impact of weather on TV watching patterns.",

author = "Shi Zong and Branislav Kveton and Shlomo Berkovsky and Azin Ashkan and Nikos Vlassis and Zheng Wen",

note = "Copyright 2017 International World Wide Web Conference Committee. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 26th International World Wide Web Conference, WWW 2017 Companion ; Conference date: 03-04-2017 Through 07-04-2017",

year = "2017",

doi = "10.1145/3041021.3054221",

language = "English",

pages = "883--884",

booktitle = "WWW '17 Companion",

publisher = "Association for Computing Machinery (ACM)",

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Zong, S, Kveton, B, Berkovsky, S, Ashkan, A, Vlassis, N & Wen, Z 2017, Does weather matter? Causal analysis of TV logs. in WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion. Association for Computing Machinery (ACM), pp. 883-884, 26th International World Wide Web Conference, WWW 2017 Companion, Perth, Australia, 3/04/17. https://doi.org/10.1145/3041021.3054221

Does weather matter? Causal analysis of TV logs. / Zong, Shi; Kveton, Branislav; Berkovsky, Shlomo; Ashkan, Azin; Vlassis, Nikos; Wen, Zheng.

WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion. Association for Computing Machinery (ACM), 2017. p. 883-884.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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