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#THOUGHTBUBBLES                                                                                            @IKNOW12       ...
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A Conceptual Prototype for a Twitter Based Recommender System for Research 2.0

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Poster for a presentation at iKnow 2012 conference, Graz

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A Conceptual Prototype for a Twitter Based Recommender System for Research 2.0

  1. 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 THONHAUSERThursday, August 30, 12

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