Future TV is Now: Personalized & Social
Upcoming SlideShare
Loading in...5
×
 

Future TV is Now: Personalized & Social

on

  • 1,561 views

Keynote at TV2PM workshop @UMAP2012 Conference

Keynote at TV2PM workshop @UMAP2012 Conference

Statistics

Views

Total Views
1,561
Views on SlideShare
1,284
Embed Views
277

Actions

Likes
3
Downloads
217
Comments
0

1 Embed 277

http://wm.cs.vu.nl 277

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

CC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike LicenseCC Attribution-NonCommercial-ShareAlike License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Future TV is Now: Personalized & Social Future TV is Now: Personalized & Social Presentation Transcript

  • Future TV is Now: Personalized & Social Lora Aroyo VU University Amsterdam @laroyoMonday, July 16, 12
  • Monday, July 16, 12
  • Monday, July 16, 12
  • Monday, July 16, 12
  • Monday, July 16, 12
  • Monday, July 16, 12
  • Monday, July 16, 12
  • Observations I The TV world was closed, but now ... • TV is the Web • TV is SocialMonday, July 16, 12
  • Observations II Personalized access to TV content is demanded, but ... • data challenges multiply with Web openness • good social recommendations are not trivial • it is not about (single) algorithms any more • it is about metricsMonday, July 16, 12
  • Observations III Paradigm shift in personalized applications methodologyMonday, July 16, 12
  • ChallengesMonday, July 16, 12
  • Web vs. TV© Ugli. on the Walls of BBC London TV is the WebMonday, July 16, 12
  • © Dan BrickleyMonday, July 16, 12
  • TV is SocialMonday, July 16, 12
  • Monday, July 16, 12
  • 42% of UK adults who use Internet while watching TV also discuss or comment on programs they are watching © Ericsson ComsumerLab: TV & Web Consumer Trends 2011Monday, July 16, 12
  • © Kierstin Shaylee Personalization NeededMonday, July 16, 12
  • © VickyBuser, BBC choices, choices ...Monday, July 16, 12
  • © RedBee Slides at MIPCube2012 lost in spaceMonday, July 16, 12
  • © RedBee Slides at MIPCube2012 always missing somethingMonday, July 16, 12
  • demand for experienceMonday, July 16, 12
  • © Ericsson ComsumerLab: TV & Web Consumer Trends 2011 RecommendationsMonday, July 16, 12
  • © Ericsson ComsumerLab: TV & Web Consumer Trends 2011 Social RecommendationsMonday, July 16, 12
  • I usually find NEW programmes to watch by: © NoTube Studies @ BBC RESULTS OF NOTUBE SOCIAL WEB & TV SURVEY 2012 Social RecommendationsMonday, July 16, 12
  • I usually find NEW programmes to watch by: © NoTube Studies @ BBC Social TV RESULTS OF NOTUBE SOCIAL WEB & TV SURVEY 2012 RESULTS OF NOTUBE SOCIAL WEB & TV SURVEY 2012 Social RecommendationsMonday, July 16, 12
  • © RedBee Slides at MIPCube2012Monday, July 16, 12
  • © Ugli. on the Walls of BBC London Social & Personalized TVMonday, July 16, 12
  • ScenariosMonday, July 16, 12
  • User Perspective • what is the role of social recommendations? • how do people watch TV together? • how devices influence watching? • what are perceived trade-offs for privacy vs. personalization?Monday, July 16, 12
  • Technology Perspective • what is the role of metadata in TV & Apps? • what are ways to share information in real time? • what are ways to sync TV & other metadata? • what is an easy way for devices to find & talk to each other?Monday, July 16, 12
  • http://notube.tvMonday, July 16, 12
  • http://www.youtube.com/watch?v=0QUPKQLvOHUMonday, July 16, 12
  • the old TV model is broken closed, proprietary, static, impersonalMonday, July 16, 12
  • Open Web Standards & Data • access to basic metadata about programs • links are the basic currency of social media • URIs for the things you watch • links to related Web entities • even a small amount of metadata enables interesting appsMonday, July 16, 12
  • Semantic Content Semantic Patterns for Pattern-based TV Programs Recommendation EPG Metadata TV Program Strategy (BBC) Enrichment RDF Graph Statistical TV Recommendation Similarity-based Programs Service Recommendation Strategy User Ratings & Demographics User Data Similarity (BBC EPG Analysis Clusters Hybrid Data) of Programs Recommendation Strategy End End-Users Users Linking Web Data to User ProfilesMonday, July 16, 12
  • TV Preference Data: Sparse • Even for a single service (e.g. Netflix) • NoTube’s open systems: challenges multiply • often no global view, only per-user data • many ways of identifying same content item • many ways of identifying same user • many ways of identifying entities e.g. actors, directors, ... © Dan BrickleyMonday, July 16, 12
  • TV Preference Data: Fragmented © Dan BrickleyMonday, July 16, 12
  • TV Preferences in NoTube • Inferred from the Social Web • tweets, FB likes, last.fm listened, etc. • weighted interests • Represented using Linked Data web identifiers • record-linkage: facebook.com/pages/ dbpedia.org/ • NLP: #littlebritain http://dbpedia.org/resource/Matt_Lucas http://dbpedia.org/resource/David_WalliamsMonday, July 16, 12
  • TV Preferences in NoTube • Inferred from the Social Web • tweets, FB likes, last.fm listened, etc. • weighted interests • Represented using Linked Data web identifiers • record-linkage: facebook.com/pages/ dbpedia.org/ • NLP: #littlebritain Brilliant british humor by Matt Lucas & David Walliams - whole range of facinating characters portraying diversity of british society http://dbpedia.org/resource/Matt_Lucas http://dbpedia.org/resource/David_WalliamsMonday, July 16, 12
  • NoTube’s Beancounter aggregate, analyze & profileMonday, July 16, 12
  • NoTube’s User Activities aggregateMonday, July 16, 12
  • NoTube’s User Interests profileMonday, July 16, 12
  • NoTube’s User Explanations controlMonday, July 16, 12
  • Recommendations in NoTube © Dan Brickley • surface interesting, new & relevant programs to individual and group users • combine in a complementary way different statistical & semantic approaches • define metrics for, e.g. serendipity, diversity, relevanceMonday, July 16, 12
  • Analysis of LOD Sources Dataset LinkedMDB DBpedia Freebase Dataset Enriched BBC #triples 6,147,978 385,000,000 337,203,427 #triples 240,630 #props 221 1643 n.a. #props 41 #types 53 3,640,000 12,000,000 #types 17,029 Type Pattern # Properties #triples People person - co_participation - person 62162 foaf:page 512,944 People person - actor - person 24843 http://purl.org/dc/terms/date 74,111 Format program - has_format - format 13108 foaf:made 53,180 Genre program - has_genre - genre 12767 People person - influencedBy - person 10053 linkedmdb:actor_actorid 50,603 People person - partner - person 10053 dbprop:hasPhotoCollection 30,354 Award program - award_won - award 782Monday, July 16, 12
  • From Predictability to SerendipityMonday, July 16, 12
  • From Predictability to Serendipity Secret Paul Merton Gardens looks at Alfred Hitchcock Make ‘em laughMonday, July 16, 12
  • From Predictability to Serendipity format at documentary Secret form form Paul Merton at Gardens looks at Alfred Hitchcock Make ‘em laughMonday, July 16, 12
  • From Predictability to Serendipity at documentary format Secret Basic patterns form form Paul Merton at Gardens genre looks at art culture ge genre nr Alfred Hitchcock aw and the media e ard Make ‘em award laugh Grammy Awards homes and gardensMonday, July 16, 12
  • From Predictability to Serendipity at documentary format Secret Basic patterns form form Paul Merton genre at Gardens Homogeneous patterns looks at art culture ge genre nr Alfred Hitchcock aw and the media e ard Make ‘em an award laugh Grammy Awards homes and ch or gardens Paul Merton pa rtn er Caroline Quentin ac to r ge Life of nr e Riley comedyMonday, July 16, 12
  • From Predictability to Serendipity at documentary format Secret Basic patterns form form Paul Merton genre at Gardens Homogeneous patterns looks at art culture ge genre nr Alfred Hitchcock aw and the media e ard Make ‘em an award laugh Grammy Awards homes and ch or gardens Paul Merton infl uen ce pa rtn er Spike act Milligan or The adventures Caroline of Barry Quentin McKenzie ac to r ge nre Life of nr form e ge Riley at comedy filmMonday, July 16, 12
  • From Predictability to Serendipity at documentary format Secret Basic patterns form form Paul Merton genre at Gardens Homogeneous patterns looks at art culture ge Alfred Hitchcock aw and the media genre nr e Heterogeneous patterns ard Make ‘em an award laugh Grammy Awards homes and ch or gardens synopsis influence Charlie enrichment Paul Merton infl uen Chaplin Shanghai pa ce Knights rtn er Spike gen act re at Milligan or The adventures form Caroline of Barry action and Quentin ac McKenzie adventure ac to to r r ge nre Life of nr form e ge Riley at comedy Jackie Chan filmMonday, July 16, 12
  • From Predictability to Serendipity at documentary format Secret Basic patterns form form Paul Merton genre at Gardens Homogeneous patterns looks at art culture ge Alfred Hitchcock aw and the media genre nr e Heterogeneous patterns ard Make ‘em an award laugh Grammy Awards homes and ch synopsis or gardens enrichment synopsis influence Charlie enrichment Paul Merton infl uen Chaplin Shanghai pa ce Knights Alfred rtn er Spike gen Hitchcock act re at Milligan or The adventures form Caroline of Barry action and director Quentin ac McKenzie adventure ac to to r r ge nre Life of nr form Suspicion e ge Riley at d comedy Jackie ar ge form Chan aw at nre Academy film Awards ThrillerMonday, July 16, 12
  • Weak Semantics & Strong StatisticsMonday, July 16, 12
  • Weak Semantics & Strong Statistics Paul Merton looks at anchor Paul partner Alfred Hitchcock Merton Caroline Quentin or act at form ge nre Life of Riley documentary art culture and the mediaMonday, July 16, 12
  • Weak Semantics & Strong Statistics Paul Merton woman looks at anchor User Alfred Hitchcock Paul partner Caroline 25 years old Merton profile Quentin 1 child or act at form ge nre Life of Riley documentary art culture and the mediaMonday, July 16, 12
  • Weak Semantics & Strong Statistics Paul Merton woman looks at anchor User Alfred Hitchcock Paul partner Caroline 25 years old Merton profile Quentin 1 child or act at form ge nre Life of Riley documentary art culture and the media 25 year old women with 1 childMonday, July 16, 12
  • Weak Semantics & Strong Statistics Paul Merton woman looks at anchor User Alfred Hitchcock Paul partner Caroline 25 years old Merton profile Quentin 1 child or act at form ge nre Life of Riley Similar users documentary art culture and the media 25 year old women with 1 childMonday, July 16, 12
  • NoTube’s N-Screen drag & drop, shuffle, sharing & TV control N-Screen drag & drop, sharing & TV controlMonday, July 16, 12
  • NoTube’s N-Screen explore programMonday, July 16, 12
  • NoTube’s N-Screen similar programsMonday, July 16, 12
  • NoTube’s N-Screen random selection • means of surfacing content buried in the video collection • when users might reach a dead-end with the recommendations • adds an extra element of serendipityMonday, July 16, 12
  • NoTube’s N-Screen explanations • depending on recommendation strategies • depending on the user’s taskMonday, July 16, 12
  • finding INTERESTING PROGRAMMES sharing them ♥ suggestions activities your past Social Web based on ♥ suggestions based on programmes others have watched linking programmes by guests, actors, ♥ drag & drop ✔ presenters etc. ✔ shuffle option for programme selection ♥ ♥ swapping suggestions with specific friends ? explaining recommendations ? sharing suggestions with others in the same room ? sharing to watch immediately controlling the TV ♥ drag & drop to change whats playing on TV watching with friends ✔ watching together apart in different locations ✘ changing programmes on someone elses TVMonday, July 16, 12
  • More from NoTube ... © Dan Brickley @notubeproject http://notube.tv http://www.slideshare.net/NoTubeProjectMonday, July 16, 12
  • Challenges • data challenges multiply with Web openness • good social recommendations are preferred • it is not about (single) algorithms any more • it is about the metricsMonday, July 16, 12
  • What’s next • The move to IP - opportunity to discover what people watch in greater breadth and depth • gather consumers’ viewing behavior & video streams • combine them with enhanced EPG as input for a holistic live-stream data mining analysis • generate a high-quality linked open dataset (LOD) describing live TV programming • market research on viewing behaviorMonday, July 16, 12
  • Thank you • for their slides & visuals: • Dan Brickley, Valentina Maccatrozzo, • Vicky Buser, Libby Miller, • Davide Palmisano, and the whole NoTube teamMonday, July 16, 12
  • Monday, July 16, 12