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