ISTI@ TREC Microblog track 2012: real-time filtering through supervised learning (Contributo in atti di convegno)

Type
Label
  • ISTI@ TREC Microblog track 2012: real-time filtering through supervised learning (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Berardi G., Esuli A., Marcheggiani D. (2012)
    ISTI@ TREC Microblog track 2012: real-time filtering through supervised learning
    in TRC 2012 - 21th Text Retrieval Conference, Gaithersburg, US, 6-9 November 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Berardi G., Esuli A., Marcheggiani D. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://trec.nist.gov/pubs/trec21/papers/NEMIS_ISTI_CNR.microblog.final.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 29 (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy (literal)
Titolo
  • ISTI@ TREC Microblog track 2012: real-time filtering through supervised learning (literal)
Abstract
  • 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. (literal)
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