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Does Weather Matter?: Causal Analysis of TV Logs

Published: 03 April 2017 Publication History

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.

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M. Xu, S. Berkovsky, S. Ardon, S. Triukose, A. Mahanti, and I. Koprinska. Catch-up TV recommendations: show old favourites and find new ones. In Proceedings of RecSys, 2013.

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    WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
    April 2017
    1738 pages
    ISBN:9781450349147

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    • IW3C2: International World Wide Web Conference Committee

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    International World Wide Web Conferences Steering Committee

    Republic and Canton of Geneva, Switzerland

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    Published: 03 April 2017

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    Author Tags

    1. causality
    2. weather

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    WWW '17
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    • IW3C2

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    WWW '17 Companion Paper Acceptance Rate 164 of 966 submissions, 17%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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