1. The future of Media Personalization

2. Web2.0-Master series 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. Web2.0-Master series Media Customization Place Time Content type This lecture concentrate on how to adapt/personalize the content. Place adaptation Content Type adaptation Time adaptation Broadcast TV VOD PVR Owned content Personalized content UGC PC Mobile

4. Web2.0-Master series 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. Web2.0-Master series Why Recommendation Engine? Get to Know Each customer as an Individual Know Make Personal Recommendations Recommend Enhance the User Experience User Experience Increase sales

6. Web2.0-Master series Recommendation Engine Methods Recommendation Systems Collaborative (Peer based) Hybrid (use both methods) Content Based Source: TrustedOpinion Technology is mostly: natural language processing Correlation matrix

7. Web2.0-Master series Music Recommendation Services

8. Web2.0-Master seriesMeeMix Analyze the user taste in order to provide the best personalized music channel

9. Web2.0-Master series Video Recommendation samples Commercial version of MovieLens with better features & GUI Collaborative /Peer based Content based

10. Web2.0-Master series Desktop/web application sample Recommendation/Rating: ▫Based on the known 1-5 star system ▫Use of peer/group recommendation icon

11. Web2.0-Master series Mobile sample Rating is kept simple: ▫Like it/hate it/no opinion Recommend ions are: ▫You’ll love it ▫You might love it

12. Web2.0-Master series 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. Web2.0-Master seriesTrends FuturePresentPastProcess My Customized channel UGC / Pre defined channels Broadcast Pre defined channels Distribution Lean backLean Forward Text search of clips Lean Back – open loop Consumption UGC + Legal Premium content+Meshups UGC content + Stolen Premium content Premium ContentContent type

14. Web2.0-Master seriesTrends Recommendation Systems closes the loop between content creator/distributers and the users Creates Content Studio Broadcast Distributer User Recomm. System Content Creator User Distributer

15. Recommendation engines in Video Advertisement

16. Web2.0-Master series 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. Web2.0-Master series Personalized Video Ads Adobe Flash and Microsoft Silverlight Enables: ▫Using one video version ▫Changing the video advertisement per user without transcoding the video Video & Audio Images, Scripts, special Effects Clip + Personalized Video Advertisement

18. Web2.0-Master series Video Advertisement - Standard Pre and Post Roll Overly Doomsday Movie advertisement as Overlay on a pre-roll of Doomsday video

19. Web2.0-Master series Samples of Personalized AD

20. Thank You !