Dec 18, 2015
Web2.0-Master series
•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
Web2.0-Master series
•Place•Time •Content type
•This lecture concentrate on how to adapt/personalize the content.
Place adaptation
ContentType adaptation
Time adaptation
Broadcast TV
VODPVR
Ownedcontent
Personalized content
UGC
PC
Mobile
Web2.0-Master series
•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
Web2.0-Master series
Web2.0-Master series
Source: TrustedOpinion
Technology is mostly: natural language processingCorrelation matrix
Web2.0-Master series
Web2.0-Master series
•Analyze the user taste in order to provide the best personalized music channel
Web2.0-Master series
• Commercial version of MovieLens with better features & GUI
Collaborative /Peer based
Content based
Web2.0-Master series
•Recommendation/Rating:▫Based on the known 1-5 star system▫Use of peer/group recommendation icon
Web2.0-Master series
•Rating is kept simple:▫Like it/hate it/no opinion
•Recommend ions are:▫You’ll love it▫You might love it
Web2.0-Master series
•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
Web2.0-Master series
Process Past Present Future
Distribution BroadcastPre defined
channels
UGC / Pre defined
channels
My Customized channel
Consumption Lean Back – open loop
Lean ForwardText search of
clips
Lean back
Content type Premium Content
UGC content + Stolen Premium
content
UGC + Legal Premium
content+Meshups
Web2.0-Master series
•Recommendation Systems closes the loop between content creator/distributers and the users
Web2.0-Master series
•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
Web2.0-Master series
•Adobe Flash and Microsoft Silverlight Enables:▫Using one video version▫Changing the video advertisement per user
without transcoding the video
Web2.0-Master series
•Pre and Post Roll
•Overly
Doomsday Movie advertisement as Overlay on a pre-roll of Doomsday video
Web2.0-Master series