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020 _a9783319461359
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024 7 _a10.1007/978-3-319-46135-9
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245 1 0 _aInformation Filtering and Retrieval
_h[electronic resource] :
_bDART 2014: Revised and Invited Papers /
_cedited by Cristian Lai, Alessandro Giuliani, Giovanni Semeraro.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVII, 117 p. 50 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
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338 _aonline resource
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347 _atext file
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490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v668
505 0 _aTime Event Extraction to Boost an Information Retrieval System -- Interactive Text Categorisation: The Geometry of Likelihood Spaces -- Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach -- SABRE: a Sentiment Aspect-Based Retrieval Engine -- Monitoring and Supporting People that Need Assistance: the BackHome Experience -- The Relevance of Providing Useful and Personalized Information to Therapists and Caregivers in Tele*.
520 _aThis book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.
650 0 _aComputational intelligence.
_97716
650 1 4 _aComputational Intelligence.
_97716
700 1 _aLai, Cristian.
_eeditor.
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700 1 _aGiuliani, Alessandro.
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700 1 _aSemeraro, Giovanni.
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776 0 8 _iPrinted edition:
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830 0 _aStudies in Computational Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-46135-9
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