RecSysTV 2016 - Time Series Effects For TV Recommendations

Recommendations for the television platform behave quite differently than the ones for video on demand platforms. A key difference is the dependency on television schedule and shows’ seasonality. In this talk, we will explore the time series effects that can be observed in the shows cyclicality, and more interestingly the effects of this cyclicality on users’ behavior. We’ll also go over some approaches to incorporate the time component onto different kinds of recommendations at Verizon IPTV

Transcript

1. TIME SERIES EFFECTS FOR TV RECOMMENDATIONS Diana Hu Verizon Labs RecSysTV, September 2016
2. HELLO! ◦  Currently @ Verizon Labs ◦  Formerly @ Intel Labs ◦  Large Scale Machine Learning & Computer Vision ◦  Scala & Spark since 2014 You can find me at: @sdianahu
3. DATA @ IPTV VERIZON ◦ Millions of subscribers ◦ Live TV playbacks ◦ DVR recordings ◦ DVR playbacks ◦ Time sensitive content by TV Schedule ◦ Hundreds of channels: Long tail
4. TV EXPERIENCE
5. SOME HISTORY first second http://www.brucesallan.com/2012/10/13/evolution-technology-television-back-day/ http://avdesigns.com/blog/design-your-own-at-home-sports-bar-with-a-multiscreen-tv-system/
6. CREATURES OF HABIT
7. CYCLICAL PATTERNS ◦ Prime time ◦ Weekend binge ◦ Sunday night football ◦ Basketball season ◦ Effect of Sitcoms ◦ Cartoons ◦ News
8. TIME OF DAY VOLUME
9. Time Segment Day Segment 6 MONTH TIME SERIES
10. GENRE EFFECTS
11. MAKING SENSE OF TIME Besides pretty visualizations…
12. NAÏVE APPROACH
13. FEATURE ENGINEERING ◦ Day parting ◦ Weekday parting ◦ Volatility spikes ◦ Intraday volatility ◦ Rank across time segments for: □ Channels □ Genres □ Programs
14. UNLOCKING PREDICTIONS
15. TIME AS A CONTEXT Enhancing recommendations
16. SOME APPROACHES
17. USE CASES ◦ Predicting viewership ◦ Personalization ◦ Re-Ranking ◦ Adapting to TV content “shelf life” ◦ Seasonality ◦ Trends
18. ACKNOWLEDGEMENTS ◦ Luis M. Sanchez ◦ Humberto Corona
19. THANKS! Any questions? You can find me at: @sdianahu diana.hu@verizon.com Also, we are hiring!