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Using Crowdsourced Viewing Statistics to Save Energy in
Wireless Video Streaming
Mohammad Ashraf Toque, Matt Raikkonen, Pukka K. Nominee
Alto University School of Science, Finlandmohammad. Toque,
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How to fill out using crowd-sourced viewing statistics
How to fill out using crowd-sourced viewing statistics
01
Collect and aggregate viewing data from various sources, such as streaming platforms, social media, and website analytics.
02
Use a reliable crowd-sourcing platform to collect viewer statistics by allowing users to rate and provide feedback on content.
03
Analyze the collected data to identify trends, preferences, and popular content.
04
Develop a system to organize and present the crowd-sourced viewing statistics in a user-friendly format, such as charts, graphs, and rankings.
05
Continuously update and refine the crowd-sourced viewing statistics by regularly collecting new data and incorporating user feedback.
06
Make the crowd-sourced viewing statistics accessible to content creators, streaming platforms, advertisers, and researchers to inform decision-making and improve content offerings.
Who needs using crowd-sourced viewing statistics?
01
Content creators and producers can use crowd-sourced viewing statistics to understand audience preferences and create content that resonates with viewers.
02
Streaming platforms can benefit from crowd-sourced viewing statistics to improve their recommendation algorithms, personalize content suggestions, and attract more subscribers.
03
Advertisers can leverage crowd-sourced viewing statistics to target specific audience segments and optimize their ad placements.
04
Researchers can use crowd-sourced viewing statistics to study viewership patterns, content consumption habits, and the impact of media on society.
05
Viewers themselves can benefit from crowd-sourced viewing statistics by discovering new content based on recommendations, ratings, and user reviews.
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