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020 _a9783662472279
024 7 _a10.1007/978-3-662-47227-9
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQ342
_b2015 EB
245 1 0 _aTourism Informatics
_bTowards Novel Knowledge Based Approaches
_cedited by Tokuro Matsuo, Kiyota Hashimoto, Hidekazu Iwamoto.
264 1 _aBerlin, Heidelberg
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XI, 164 páginas 82 ilustraciones, 1 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v90
490 0 _aEngineering (Springer-11647)
505 0 _aTopic Analysis of Case Reports in Tourism Toward Collaborative Tourism Planning Support -- Mapping Geotagged Tweets to Tourist Spots Considering Activity Region of Spot -- Discovery of Implicit Feature Words of Place Name -- Extraction of Tourism Objects from Blogs -- An Innovative Regional Tourism Study by Microfilms -- On-site Likelihood Identification of Tweets Using a Two-stage Method -- Recommending Hotels by Social Conditions of Locations -- A System for Recommendation of Accommodation Facilities Adaptable to User Interest -- Adaptive User Interface for Personalized Transportation Guidance System -- The Effectiveness of Time Sequence Information on a Sightseeing Spot Recommender -- Suspect Vehicle Detection Using Vehicle Reputation with Association Analysis Concept.
520 3 _aThis book introduces new trends of theory and practice of information technologies in tourism. The book does not handle only the fundamental contribution, but also discusses innovative and emerging technologies to promote and develop new generation tourism informatics theory and their applications. Some chapters are concerned with data analysis, web technologies, social media, and their case studies. Travel information on the web provided by travelers is very useful for other travelers make their travel plan. A chapter in this book proposes a method for interactive retrieval of information on accommodation facilities to support travelling customers in their travel preparations. Also an adaptive user interface for personalized transportation guidance system is proposed. Another chapter in this book shows a novel support system for the collaborative tourism planning by using the case reports that are collected via Internet. Also, a system for recommending hotels for the users is proposed and evaluated. Other chapters are concerned with recommendation, personalization, and other emerging technologies.  .
988 _aEBSPRINGER_2018
650 7 _aTurismo
_2embne
_9418502
650 7 _aInteligencia artificial
_2embne
_9413115
700 1 _aMatsuo, Tokuro.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/306099739/
700 1 _aHashimoto, Kiyota.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no2014131411
_1http://viaf.org/viaf/254400510/
700 1 _aIwamoto, Hidekazu.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/107147266987135482786/
776 0 8 _iEdición impresa:
_z9783662472262
776 0 8 _iEdición impresa:
_z9783662472286
776 0 8 _iEdición impresa:
_z9783662508572
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-47227-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2019
_dz
_eIG
_zSI