Paper Info
Title
A Real-world Dataset of Netflix Videos and User Watch-Behavior: Analysis and Insights
Abstract
Netflix is the most popular video streaming site contributing to nearly a quarter of global video traffic. Given the dominance of Netflix on Internet traffic, understanding how individual users consume content on Netflix is of interest to not only the research community, but to network operators, content creators and providers, users and advertisers. In this context, we collect Netflix viewing activity from 1060 users spanning a 1 year period, and consisting of over 1.7 million episodes and movies. We group the users based on their activity level, and provide key insights pertaining to the user's watch patterns, watch-session length, user preferences, predictability and watch-behavior continuation tendencies. We also implement and evaluate classifiers which are used to predict the user's engagement in a series based on their past behavioral patterns.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500669
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
DocType
ISSN
Citations 
Conference
1550-3607
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Shruti Lall122.76
Raghupathy Sivakumar221.41