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The future of Media Personalization

The future of Media Personalization. Agenda. Customization and personalization aspects: Place (home, mobile) Time Content Personalization/Recommendation engines Intro to media recommendation methods Media personalization in IPTV, Mobile and Web Personalization in advertisement - Targeting

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The future of Media Personalization

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  1. The future of Media Personalization

  2. Agenda • Customization and personalization aspects: • Place (home, mobile) • Time • Content • Personalization/Recommendation engines • Intro to media recommendation methods • Media personalization in IPTV, Mobile and Web • Personalization in advertisement - Targeting • Personalized video Ads on mobile & Web • Seambi example

  3. Media Customization Place adaptation • Place • Time • Content type • This lecture concentrate on how to adapt/personalize the content. VOD PVR Broadcast TV PC Owned content UGC Mobile Personalized content Time adaptation Content Type adaptation

  4. Content personalization • There is a surge in the amount of available content: • 1 channel -> Thousands of channels • 10 VoD Titles->Thousands of VoD titles • Tens of millions of UGC clips • How to select the right content? • Let the system select the content for you Media Recommendation Engines

  5. Why Recommendation Engine?

  6. Recommendation Engine Methods Technology is mostly: natural language processing Correlation matrix Source: TrustedOpinion

  7. Music Recommendation Services

  8. MeeMix • Analyze the user taste in order to provide the best personalized music channel

  9. Video Recommendation samples • Commercial version of MovieLens with better features & GUI Collaborative /Peer based Content based

  10. Desktop/web application sample • Recommendation/Rating: • Based on the known 1-5 star system • Use of peer/group recommendation icon

  11. Mobile sample • Rating is kept simple: • Like it/hate it/no opinion • Recommend ions are: • You’ll love it • You might love it

  12. Movie selection ->personal channels • Once we are sure of users needs we can assist him in creating his own “Personal TV Channel” • Personal channel is most common in: • Music Recommendation Engine • Mobile recommendation engine • Starting to catch up on Web TV channels • Channel Creation Platforms

  13. Trends

  14. Trends • Recommendation Systems closes the loop between content creator/distributers and the users

  15. Recommendation engines in Video Advertisement

  16. Advertisement Personalization-Targeting • In broadcast TV ->broadcast Ads • In IPTV and Web we can use flash->video advertisement without transcoding. • Use targeting and peronalization engine • Advertisers use viewers information for ad targeting including: • Location • Demographic • User profile • User content

  17. Personalized Video Ads • Adobe Flash and Microsoft Silverlight Enables: • Using one video version • Changing the video advertisement per user without transcoding the video

  18. Video Advertisement - Standard • Pre and Post Roll • Overly Doomsday Movie advertisement as Overlay on a pre-roll of Doomsday video

  19. Samples of Personalized AD

  20. Thank You !

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