28. every Web page text contains
entities potentially representative
of a user’ interest
29. Natural Language Processing
technologies are used to extract
named entities from textual
objects
and those named entities are
represented as Linked Open
Data identifiers.
30. Linked Data as Palette
picture by @danbri http://www.flickr.com/photos/danbri/3478830059/
46. your app,
your
contents
engagement,
content
syndication
47. your app,
your
contents
engagement,
content
syndication
separated analytics,
content
recommendations
48. your app,
your
contents
engagement,
content
syndication
real-time
profiles
interest mining
(batch processes)
separated analytics,
content
recommendations
49.
50. Now, think about having stored
all thesnapshots of your
users’ profiles in terms of
theirs weighted interests
51. interest mining, is that
process which allows you to
discover patterns and
relationships between di!erent
users’ interests
52.
53.
54. a Social TV scenario
“60% of Americans use the
Web simultaneously while
watching TV”
http://blog.nielsen.com/nielsenwire/online_mobile/three-screen-report-q409/“
58. curated
contents
TV broadcaster
TV archives
personal
recommendations
login, comments,
real-time
sharing contents
profiles
advertising,
audience tracking
interest mining
and identification
(batch processes)
59. 2nd screen iOS/android launch
foreseen for October 2012,
backed by beancounter.io
40K new users/week expected
60.
61. a user watched something
from my archive
a user shared something on
Facebook
62. a user watched something
from my archive
generic interests layer
a user shared something on
Facebook
63. a user watched something
from my archive
custom profiling
rules
generic interests layer
a user shared something on
Facebook
64. a user watched something
from my archive
custom profiling
rules
application-specific
interests layer
generic interests layer
a user profile
a user shared something on
Facebook
65. a user watched something
from my archive
custom profiling
rules
application-specific
interests layer
generic interests layer
a user profile
a user shared something on
Facebook
66. beancounter.io in few words
Open Linked Data profiles, for interoperability
real-time computation, to closely follow your users
fully customisable, to tail it on your domain
available SaaS, in-house deployment
baked by top-class open source products,
lambda-architecture *
* N. Marz, “Big Data”, Manning, 9781617290343
67. Davide Palmisano
@dpalmisano
http://launch.beancounter.io
crunching the Social Web, in real-time.