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 proceedingConference proceeding contributionpeer-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 languageEnglish
Title of host publicationWWW '17 Companion
Subtitle of host publicationProceedings of the 26th International Conference on World Wide Web Companion
PublisherAssociation for Computing Machinery (ACM)
Pages883-884
Number of pages2
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 3 Apr 20177 Apr 2017

Conference

Conference26th International World Wide Web Conference, WWW 2017 Companion
CountryAustralia
CityPerth
Period3/04/177/04/17

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.

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