The document discusses the future of personalized and social TV through a project called NoTube. NoTube aims to integrate TV and the web using semantics by openly linking TV content and user data. It seeks to put users back in control by connecting their personal data from different sources with explicit semantics. The project also aims to make TV accessible across devices and allow mobile devices to function as remote controls.

1. The
Future
of
TV:
Personalisa3on
&
Social
Seman3cs
Lora
Aroyo
VU
University
Amsterdam
h>p://www.cs.vu.nl/~laroyo/
1
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

2. NOTUBE
PARTNERS
2
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

3. WE
AIM
AT
…
• Integra7ng
TV
&
Web
with
help
of
seman7cs
– Open
and
interlink
TV
content
in
a
Web
fashion
with
Linked
Open
Data
• PuTng
the
user
back
in
the
driving
seat
– Connect
mul7tude
of
distributed
personal
data
with
explicit
seman7cs
• TV
is
not
bound
to
the
device
– Computer
as
TV
&
vice
versa
– Mobile
device
as
remote
control
3
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

4. RESULTS
FOR
…
• VIEWERS
-­‐
people
watching
TV
(individuals,
communi7es
and
groups)
• TECHNICIANS
-­‐
programmers
(APIs
and
so[ware
components),
broadcasters
and
adver7sers
• SCIENTISTS
-­‐
interested
in
standards,
access
policies,
privacy
issues
etc.
4
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

5. COMBINING
BIPOLAR
CULTURES
5
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

6. BUILDING
NOTUBE
‘ECOSYSTEM’
6
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

7. PART
OF
THE
OVERALL
TREND
FOR
WEB
&
TV
CONVERGENCE
7
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

8. DRIVEN
BY
INDUSTRIAL
USE
CASES
8
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

9. CURRENT
TRENDS
IN
TV
WATCHING
9
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

10. 10
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

11. From „Social TV: watch Hulu with your Facebook and
MySpace friends“, on Mashable.com
11
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

12. DELOITTE
REPORT:
TV
&
SOCIAL
MEDIA:
FRIENDS
FOREVER?
42%
of
UK
adults
who
use
Internet
while
watching
TV
also
discuss
or
comment
on
programmes
they
are
watching
12
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

13. MULTITUDE
OF
SOCIAL
WEB
&
WEB
TV
ACTIVITIES
13
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

14. 14
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

15. DECIDING
WHAT
TO
WATCH
IS
DIFFICULT
15
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

16. NOT
A
SOLUTION
EITHER
16
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

17. TV
“WE ARE BUILDING A WEB WHERE THE
DEFAULT IS SOCIAL.”
17
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

18. SEMANTICS
FOR
TV
&
USERS
18
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

19. 19
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

20. SEMANTICS
&
LINKED
DATA
IN
TV
• DBPedia,
Freebase,
WordNet(s),
TV
genre
typologies,
IMDB,
TV
Any7me,
BBC
Programme
ontology,
(constantly
growing
list)
• Expose
TV
metadata
as
Seman7c
Web
data
• Use
LOD
concepts
for
EPG
metadata
enrichment
• Publish
NoTube
addi7ons
as
extension
to
LOD
• Combine
and
align
Web
&
TV
standards
(public
broadcasters)
20
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

21. ENRICHMENT
OF
EPG
METADATA
21
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

22. EXAMPLES
OF
SEMANTIC
&
LINKED
DATA
@
BBC
• BBC
Programs
and
BBC
Music
ensure
ONE
page
per
programme
(ar7st)
with
RDF
representa7on
• BBC
Program
Ontology
• BBC
Wildlife
Finder
provides
a
URI
for
every
species,
habitat
and
adap7on
• The
BBC’s
World
Cup
site
uses
RDF
and
Linked
Data
for
a
site
of
700
aggrega7on
pages
22
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

23. USER
DATA
&
ACTIVITIES
Image credits: Dan Brickley
23
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

24. USERS
IN
DISTRIBUTED
CONTEXTS
24
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

25. SOCIAL
WEB
AS
(ISOLATED)
USER
DATA
SILOS
25
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

26. FOAF
(FRIEND-­‐OF-­‐A-­‐FRIEND)
26
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

27. USER
PROFILING
WITH
BEANCOUNTER
27
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

28. 28
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

29. SURFACING
PROGRAMS
FROM
THE
LONG
TAIL
RECOMMENDATIONS
29
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

30. FINDING
INTERESTING
RELATIONS
• Deep
links
• Ontology
Pa=erns
• Interes7ngness
factor
• Serendipity
factor
• Related
info
• Allows
proper
discussion
• Different
contexts
30
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

31. CROSS-­‐DOMAIN
RECOMMENDATIONS
• Domain
independent
content
pa=erns
• Context
(in-­‐)
dependency
• Cross-­‐applica7on
• Cross-­‐domain
31
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

32. GENERATING
EXPLANATIONS
• Help
users
to:
– Learn
the
recommenda7on
mechanisms
– Understand
why
something
is
recommended
– Quicker
share
recommended
content
– Give
be=er
feedback
to
the
recommender
engine
32
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

33. IDEAS
FOR
RECOMMENDATION
TRENDS
• Twi=er
TV
trends
amongst
my
friends
• What
my
friends
are
watching
• What's
most
popular
on
Twi=er
right
now
• What
my
friends/celebri7es
are
liking
on
FB
• Hunch.com
links
between
content
and
people
stereotypes
• ….
33
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

34. DELIVERING
PERSONALIZED
EXPERIENCE
• Push
personaliza7on
– Filter
automa7cally
irrelevant
content
– Push
relevant
background
content
– Browse
recommenda7ons
• Reduce
the
burden
of
too
much
choice
• Support
(interes7ng)
content
discovery,
serendipity,
knowledge
buiding
• Both
on
TV
and
on
the
Web
34
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

35. NOTUBE
BUILDING
BLOCKS
35
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

36. 36
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

37. DATA
&
METADATA
SERVICES
1. TV
Metadata
(real-­‐7me)
Services
170+
channels,
TV
Any7me
metadata
format
2. Metadata
Enrichment
Services
Add
links
to
external
Web
vocab.
&
repositories
3. TV
Vocabulary
&
LOD
Services
Access
to
&
alignment
between
major
TV-­‐related
vocabularies,
e.g.
genre
typologies
37
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

38. PERSONALIZATION
SERVICES
1. User
Data
Services
-­‐
Access,
aggrega7on
and
standard
representa7on
of
User
Ac7vity
Streams,
e.g.
OpenSocial;
Twi=er,
Facebook
-­‐
Trusted
access
to
“friend”
info,
e.g.
Oauth2.0
-­‐
User
Profiling
services
2. Recommenda7on
Services
Collabora7ve,
content-­‐based
and
hybrid
38
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

39. http://notube.tv
NOTUBE
DEMONSTRATORS
• http://vimeo.com/10553773
• http://vimeo.com/11232681
39
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo
© Libby Miller, BBC

40. NOTUBE
DEMONSTRATOR
I:
PERSONALIZED
SEMANTIC
NEWS
40
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

41. NOTUBE
DEMONSTRATOR
II:
PERSONALIZED
EPG
&
ADS
OnlineTV
Guide
Se8op
Box
EPG
Mobile
IdenAty
•
SynchronizaAon
with
STB
• My
TV
Night
• ID
Anywhere
•
SemanAc
Search
• What’s
on
for
me
• NoAficaAons
• Related
Programs
http://ifanzy.nl
41
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

42. NOTUBE
DEMONSTRATOR
III:
SOCIAL
TV
&
WEB
• http://vimeo.com/10553773
• http://vimeo.com/11232681
42
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

43. IMAGE
CREDITS
• h=p://pidgintech.com
• Dan
Brickley,
VU
Amsterdam
• Libby
Miller,
BBC
• Vicky
Buser,
BBC
• Stoneroos
43
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

44. NOTUBE
PARTNERS
44
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo

45. The
Future
of
TV:
Personalisa3on
&
Social
Seman3cs
45
Future
of
TV:
Personaliza7on
&
Social
Seman7cs
h=p://notube.tv
Lora
Aroyo