Multimedia Personalization


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Trends in multimedia personalization and recommendation engines

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Multimedia Personalization

  1. 2. <ul><li>Customization and personalization aspects: </li></ul><ul><ul><li>Place (home, mobile) </li></ul></ul><ul><ul><li>Time </li></ul></ul><ul><ul><li>Content </li></ul></ul><ul><li>Personalization/Recommendation engines </li></ul><ul><ul><li>Intro to media recommendation methods </li></ul></ul><ul><ul><li>Media personalization in IPTV, Mobile and Web </li></ul></ul><ul><li>Personalization in advertisement - Targeting </li></ul><ul><ul><li>Personalized video Ads on mobile & Web </li></ul></ul><ul><ul><li>Seambi example </li></ul></ul>
  2. 3. <ul><li>Place </li></ul><ul><li>Time </li></ul><ul><li>Content type </li></ul><ul><li>This lecture concentrate on how to adapt/personalize the content. </li></ul>Place adaptation Content Type adaptation Time adaptation Personalized content Broadcast TV VOD PVR Owned content UGC PC Mobile
  3. 4. <ul><li>There is a surge in the amount of available content: </li></ul><ul><ul><li>1 channel -> Thousands of channels </li></ul></ul><ul><ul><li>10 VoD Titles->Thousands of VoD titles </li></ul></ul><ul><ul><li>Tens of millions of UGC clips </li></ul></ul><ul><li>How to select the right content? </li></ul><ul><ul><li>Let the system select the content for you </li></ul></ul><ul><li>Media Recommendation Engines </li></ul>
  4. 6. Source: TrustedOpinion Technology is mostly: natural language processing Correlation matrix
  5. 9. <ul><li>Analyze the user taste in order to provide the best personalized music channel </li></ul><ul><li>iLike music recommendation app growth on facebook </li></ul>
  6. 10. <ul><li>Commercial version of MovieLens with better features & GUI </li></ul>Collaborative /Peer based Content based
  7. 11. <ul><li>Recommendation/Rating: </li></ul><ul><ul><li>Based on the known 1-5 star system </li></ul></ul><ul><ul><li>Use of peer/group recommendation icon </li></ul></ul>
  8. 12. <ul><li>Rating is kept simple: </li></ul><ul><ul><li>Like it/hate it/no opinion </li></ul></ul><ul><li>Recommend ions are: </li></ul><ul><ul><li>You’ll love it </li></ul></ul><ul><ul><li>You might love it </li></ul></ul>
  9. 13. <ul><li>Once we are sure of users needs we can assist him in creating his own “Personal TV Channel” </li></ul><ul><li>Personal channel is most common in: </li></ul><ul><ul><li>Music Recommendation Engine </li></ul></ul><ul><ul><li>Mobile recommendation engine </li></ul></ul><ul><li>Starting to catch up on Web TV channels </li></ul><ul><li>Channel Creation Platforms </li></ul>
  10. 14. Future Present Past Process My Customized channel UGC / Pre defined channels Broadcast Pre defined channels Distribution Lean back Lean Forward Text search of clips Lean Back – open loop Consumption UGC + Legal Premium content+Meshups UGC content + Stolen Premium content Premium Content Content type
  11. 15. <ul><li>Recommendation Systems closes the loop between content creator/distributers and the users </li></ul>
  12. 17. <ul><li>In broadcast TV ->broadcast Ads </li></ul><ul><li>In IPTV and Web we can use flash->video advertisement without transcoding. </li></ul><ul><li>Use targeting and personalization engine </li></ul><ul><li>Advertisers use viewers information for ad targeting including: </li></ul><ul><ul><li>Location </li></ul></ul><ul><ul><li>Demographic </li></ul></ul><ul><ul><li>User profile </li></ul></ul><ul><ul><li>User content </li></ul></ul>
  13. 18. <ul><li>Adobe Flash and Microsoft Silverlight Enables: </li></ul><ul><ul><li>Using one video version </li></ul></ul><ul><ul><li>Changing the video advertisement per user without transcoding the video </li></ul></ul>
  14. 19. <ul><li>Pre and Post Roll </li></ul><ul><li>Overly </li></ul>Doomsday Movie advertisement as Overlay on a pre-roll of Doomsday video