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Alpha Presentation Twitch Comment Rankings and Smart Ads The Capstone Experience Team Amazon Michael Chen Cash Compton Max Reuter Chaz Schooler Po-An Tsai Department of Computer Science and Engineering Michigan State University Spring

Alpha Presentation Twitch Comment Rankings and Smart Ads The Capstone Experience Team Amazon Michael Chen Cash Compton Max Reuter Chaz Schooler Po-An Tsai Department of Computer Science and Engineering Michigan State University Spring 2016 From Students… …to Professionals
Project Overview • Objectives  Increase chat usage and interactivity  Present unique ads that viewers will appreciate • Comment Rankings  Comment rank determined by votes and frequency  High-ranking comments displayed statically • Smart Ads  Identify products mentioned in chat and on stream  Advertise link to products on amazon.com The Capstone Experience Team Amazon Alpha Presentation 2
System Architecture Twitch.tv Client Adapter Browser Site AWS Amazon.com Servers The Capstone Experience Team Amazon Alpha Presentation 3
Chat Ranking Algorithm Simulation The Capstone Experience Team Amazon Alpha Presentation 4
Stream Audio Transcription The Capstone Experience Team Amazon Alpha Presentation 5
User Interface The Capstone Experience Team Amazon Alpha Presentation 6
What’s left to do? • Complete ad relevance/selection algorithm • Connect ranking algorithm with comments database • Increasing transcription accuracy • Improvements to voting GUI and functionality • Testing The Capstone Experience Team Amazon Alpha Presentation 7

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