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The Social Web 2013
Final Assignment Pitches

Social Web 2013, Lora Aroyo
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 02
Monday, February 17, 14
That  red  card  was  SO
unfair!!!:@#pope

Nice  one,  Pope  got  
what  he  deserved:D

Pope  did  NOT  deserve
that...#soccer

That  tackle  was
nasty.  Pope  out!

This  ref  sucks!!  Pope
didnt  do  a  thing

Pope,  love  you!
This  game  is  ours.

Tweets  on  events  during  football  matches
Classification  of  tweets
Recommend  tweets  to  user  based  on  club  preference
&  other  interesting  info  on  the  match
Monday, February 17, 14
Next up: Group 04
Monday, February 17, 14
Music Social

Bas van der Drift
Claire Pagani
Nadya Anjani

Monday, February 17, 14
Next up: Group 07
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 12
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 999
Monday, February 17, 14
Analyzing Geographical
Brand Perception

Data Collection:
Tweets

Select tweets of a
certain brand

Monday, February 17, 14

Cluster by
location

Visualization

Rufus Schep & Marlieke Kerremans

Classify tweets:
Positive/Negative

Visualization
Next up: Group 10
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 13
Monday, February 17, 14
Final&assignment&group&13&
‘ZodiacFace’&
7&Mining&the&birth&dates&of&friends&of&a&person&&
7&classifica=on&of&friends&based&on&the&zodiac&circle.&
7&recommenda=on&according&to&their&zodiac&matches.&

Monday, February 17, 14
Next up: Group 666
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 00
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 20
Monday, February 17, 14
Movie Recommender System
!  The application recommends movies based on the
age and occupation of users.

!  Motivations:
!  Predicting user choices based on the choices of other
similar users.

!  Users gain knowledge related to major or career by
recommended movies.

!  Methods:  
!  Using the rating of other consumers and clustering to
classify dataset.

Monday, February 17, 14
Next up: Group 007
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 03
Monday, February 17, 14
Stefan Perez, Suraj Ho, Andrea Bravo

Did you miss that concert you wanted to attend? Or just want to revive that
amazing gig?
Back to the Concert takes you on a journey of setlists, videos and pictures

COLLECT DATA
Just log in, select a concert and enjoy the videos, pictures and
setlists

OR
Find out which platform is used the most to share the concert
experience with you

PROCESS DATA

VISUALIZE DATA
Ziggo Dome YouTube
Total Instagram
Total YouTube

35%
10%

25%

12%

Ziggo Dome Instagram

30%

22%
8%

Ziggo Dome Facebook

60%
Total Tweets

Ziggo Dome Tweets
Total Facebook

Monday, February 17, 14
Next up: Group 101
Monday, February 17, 14
Recommenda)ons+according+to:+
+
! Movie+genre+
+
! Favorite+movie+–+be6er+ra)ngs+
! Personal+ra)ngs+++

The$source$of$the$ra-ng$data$set$is$
$from$MovieLens$–$IMDB$

Monday, February 17, 14
Next up: Group 06
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 55
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 22
Monday, February 17, 14
G22 - Twitter trend statistics
Purpose: Track & measure the distribution
and the reach of Twitter’s daily trends among
users, followers & “influential” profiles

Monday, February 17, 14
Next up: Group 11
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 08
Monday, February 17, 14
Geo-localization

Friends
recommendation

I´m here!!

Geolocalization

Which is the nearest
restaurant?
Monday, February 17, 14

Which close-by restaurants
are the best, according to
my friends?
Next up: Group 14
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 01
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 23
Monday, February 17, 14
Monday, February 17, 14
Next up: Group 05
Monday, February 17, 14
Monday, February 17, 14
The End
Final Assignment Pitches

Social Web 2013, Lora Aroyo
Monday, February 17, 14
The End

Monday, February 17, 14

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