Does Weather Matter? Causal Analysis of TV Logs

2017/01/25 by Shi Zong, Branislav Kveton, Zong, Shi +9
Computer Science · Social Sciences · #Computers and Society (cs.CY) #Error Correcting Code Techniques #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Recommender Systems and Techniques

paper · pdf · doi:10.48550/arxiv.1701.08716

openalex publication_date 2017/01/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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