Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
Analyzing client interactivity in streaming media
Proceedings of the 13th international conference on World Wide Web
An analytical study of peer-to-peer media streaming systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying "best bet" web search results by mining past user behavior
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Investigating the querying and browsing behavior of advanced search engine users
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
Understanding video interactions in youtube
MM '08 Proceedings of the 16th ACM international conference on Multimedia
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Modeling and predicting user behavior in sponsored search
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Incentive cooperation strategies for peer-to-peer live multimedia streaming social networks
IEEE Transactions on Multimedia - Special section on communities and media computing
Personalized click prediction in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Optimizing user interaction for web-based mobile tasks
Proceedings of the 19th international conference on World wide web
Why do we converse on social media?: an analysis of intrinsic and extrinsic network factors
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
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Understanding user behavior in online video streaming is essential to designing streaming systems which provide user-oriented service. However, it is challenging to gain insightful knowledge of the characteristics of user behavior due to its high volatility. To this end, the paper provides an extensive analysis of user behavior in online video streaming, based on a large scale trace database of online streaming video access sessions. We categorize user behaviors into multiple patterns and probe the relationship between them. Our work puts emphasis on the statistical characteristics of user behavior patterns. Particularly, this study uncovers that the behavior of one individual user in a video streaming session is not only related to the popularity level of the video, but also has strong correlation with the user's behaviors in previous streaming sessions.