[publication] Thought Bubbles: a conceptual prototype for a Twitter based recommender system for research 2.0

The draft version of our publication “Thought Bubbles: a conceptual prototype for a Twitter based recommender system for research 2.0” at this year i-KNOW conference is now online available. The poster is already published here.
Abstract:

The concept of so called Thought Bubbles deals with the problem of finding appropriate new connections within Social Networks, especially Twitter. As a side effect of exploring new users, Tweets are classified and rated and are used for generating a kind of news feed, which will extend the personal Twitter feed. Each user has several interests that can be classified by evaluating his Tweets in first place and secondly by evaluating user related and already existing contacts. By categorizing a user and concerned connections, one can be placed in an imaginary category specific subset of users, called Thought Bubbles. Following the trace of people who are also active within the same specific Thought Bubble, should reveal interesting and helpful connections between similar minded users.

Reference: Thonhauser, P., Softic, S., Ebner, M. (2012) Thought Bubbles: a conceptual prototype for a Twitter based recommender system for research 2.0. In Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW ’12). ACM, New York, NY, USA, , Article 32 , 4 pages. DOI=10.1145/2362456.2362496