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 |
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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 | |
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 |
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Country/Territory | Australia |
City | Perth |
Period | 3/04/17 → 7/04/17 |