1. #THOUGHTBUBBLES
@IKNOW12
THOUGHT BUBBLES
A CONCEPTUAL PROTOTYPE FOR A TWITTER BASED
RECOMMENDER SYSTEM FOR RESEARCH 2.0
• TWO BASIC QUESTIONS:
• IS TWITTER USEFUL FOR DISCOVERING NEW INFORMATION IN SENSE OF A USERS
THOUGHT
RESEARCH 2.0? BUBBLE
SPORTS
• IS IT POSSIBLE TO FILTER RELEVANT INFORMATION FROM TWEETS?
• CONCEPT:
IOS DEV
• LET’S IMAGINE EVERY TWITTER USER BELONGS TO SEVERAL DIFFERENT
SERVICE
TOPIC RELATED BUBBLES. USER
TW
• REALIZATION: RE ITT
ST ER T
SOCIAL MEDIA
BU HO
• NATURAL LANGUAGE PROCESSING AP
I
BB UG
LE HT
S
• FILTERING BY COMMON TWITTER EVALUATION RATIOS LIKE AP
I
TWEET-FREQUENCY, FOLLOWER-COUNT, ETC
PRE-
NLP
• SYSTEM LEARNS AND IMPROVES RECOMMENDATIONS BY ANALYZING FILTERING
ACCEPTED RECOMMENDATIONS CLUSTERING
• PRELIMINARY RESULTS: DB
CATEGORI ANALYZE
• 10 TWITTER ACCOUNTS WERE GIVEN TOP 25 RECOMMENDATIONS SATION RECS
• OVER 60% ACCEPTANCE RATE!!!! SERVER
BY PATRCK THONHAUSER
Thursday, August 30, 12