Final Assignments (Pitches) Social Web Course 2013
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These are 1-min pitch slides for the final projects in the Social Web course in 2013. stay tuned for the new presentations in 2014: http://thesocialweb2014.wordpress.com
Transcript of Final Assignments (Pitches) Social Web Course 2013
The Social Web 2013Final Assignment Pitches
Social Web 2013, Lora AroyoMonday, February 17, 14
Monday, February 17, 14
Next up: Group 02Monday, February 17, 14
Nice one, Pope got
what he deserved:D
That tackle was
nasty. Pope out!
Pope, love you!
This game is ours.
Tweets on events during football matches
Recommend tweets to user based on club preference
& other interesting info on the match
Classification of tweets
This ref sucks!! Pope
didnt do a thing
Pope did NOT deserve
that...#soccer
That red card was SO
unfair!!!:@#pope
Monday, February 17, 14
Next up: Group 04Monday, February 17, 14
Music Social
Bas van der DriftClaire PaganiNadya Anjani
Monday, February 17, 14
Next up: Group 07Monday, February 17, 14
Monday, February 17, 14
Next up: Group 12Monday, February 17, 14
Monday, February 17, 14
Next up: Group 999Monday, February 17, 14
Analyzing Geographical Brand Perception
Rufus Schep & Marlieke Kerremans
Data Collection: Tweets
Select tweets of a certain brand
Classify tweets: Positive/Negative
Cluster by location
Visualization Visualization
Monday, February 17, 14
Next up: Group 10Monday, February 17, 14
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Monday, February 17, 14
Next up: Group 13Monday, February 17, 14
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Monday, February 17, 14
Next up: Group 666Monday, February 17, 14
Monday, February 17, 14
Next up: Group 00Monday, February 17, 14
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Next up: Group 20Monday, 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 007Monday, February 17, 14
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Monday, February 17, 14
Next up: Group 03 Monday, February 17, 14
PROCESS DATA
COLLECT DATA
Stefan Perez, Suraj Ho, Andrea Bravo
VISUALIZE DATA
30%
35%
60%
25%
22%
10%
12%
8%
Total Instagram
Ziggo Dome Instagram
Ziggo Dome YouTube
Total YouTube
Ziggo Dome Facebook
Total Facebook
Total TweetsZiggo Dome Tweets
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
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
Monday, February 17, 14
Next up: Group 101Monday, February 17, 14
Recommenda)ons+according+to:++! Movie+genre++! Favorite+movie+–+be6er+ra)ngs+
! Personal+ra)ngs+++
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Monday, February 17, 14
Next up: Group 06Monday, February 17, 14
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Monday, February 17, 14
Next up: Group 55Monday, February 17, 14
Monday, February 17, 14
Next up: Group 22Monday, February 17, 14
G22 - Twitter trend statisticsPurpose: Track & measure the distribution and the reach of Twitter’s daily trends among users, followers & “influential” profiles
Monday, February 17, 14
Next up: Group 11Monday, February 17, 14
Monday, February 17, 14
Next up: Group 08Monday, February 17, 14
Geolocalization
Which is the nearest
restaurant?
Which close-by restaurants
are the best, according to
my friends?
I´m here!!
Geo-localization Friends
recommendation
Monday, February 17, 14
Next up: Group 14Monday, February 17, 14
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Monday, February 17, 14
Next up: Group 01Monday, February 17, 14
Monday, February 17, 14
Next up: Group 23Monday, February 17, 14
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Next up: Group 05Monday, February 17, 14
Monday, February 17, 14
The EndFinal Assignment Pitches
Social Web 2013, Lora Aroyo
Monday, February 17, 14
The End
Monday, February 17, 14
