PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Berardi G., Esuli A., Marcheggiani D. ISTI@ TREC Microblog track 2012: real-time filtering through supervised learning. In: TREC 2012 - 21th Text Retrieval Conference (Gaithersburg, US, 6-9 Novembre 2012). Proceedings, article n. 29. NIST - National Institute of Standards and Technology, 2012.
 
 
Abstract
(English)
Our approach to the microblog filtering task is based on learning a relevance classifier from an initial training set of relevant and non relevant tweets, generated by using a simple retrieval method. The classifier is then retrained using the (simulated) user feedback collected during the training process, in order to improve its accuracy as the filtering process goes on. In the official runs the system scored low effectiveness values, suffering a strong imbalance toward recall.
URL: http://trec.nist.gov/pubs/trec21/papers/NEMIS_ISTI_CNR.microblog.final.pdf
Subject microblog search
twitter
realtime filtering
H.3.3 Information Search and Retrieval


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