000 03785nam a22004695i 4500
999 _c362305
_d362305
001 362305
003 ES-MaUEC
005 20240111050216.0
006 a||||fo|||| 00| 0
007 cr nn 008mamaa
008 210309s2021 si | s |||| 0|eng d
020 _a9789813341838
024 7 _a10.1007/978-981-33-4183-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ334
_b2021 EB
245 1 0 _aMarketing and Smart Technologies :
_bProceedings of ICMarkTech 2020
_cedited by Álvaro Rocha, José Luís Reis, Marc K. Peter, Ricardo Cayolla, Sandra Loureiro, Zorica Bogdanović.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XXXII, 797 páginas)
_b151 ilustraciones, 93 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSmart Innovation Systems and Technologies
_x2190-3026
_v205
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aHow committed I am with Tourist-Intelligent Virtual Assistants? -- Human Intelligence vs Artificial Intelligence: A Comparison of Traditional and AI-based -- Methods for Prospect Generation -- A trademark image retrieval tool based on deep learning features -- The Impact of TikTok on Digital Marketing Sentiment Analysis using web-based platforms on virtual education during the 2020 lockdown -- The Post COVID-19 Shopping Experience: Thoughts on the Role of Emerging Retail Technologies -- Contribution of Research and Development to the Efficiency of Social Progress in Latin America: Patents -- The Organizations' Paths to Market Success -- The Application of Text Mining for the analysis of connotation in a Higher Education Institution.
520 3 _aThis book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2020), held at ISCTE - University Institute of Lisbon, in the city of Lisbon in Portugal, between 8 and 10 October 2020. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
988 _aSpringer_Robotics_2021
650 7 _2embne
_aInteligencia artificial
_9413115
700 _aRocha, Álvaro.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997958
700 _aReis, José Luís
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681787
700 _aPeter, Marc K
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681788
700 _aCayolla, Ricardo
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681789
700 _aLoureiro, Sandra
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681790
700 _aBogdanović, Zorica
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681791
776 0 8 _iPrinted edition:
_z9789813341821
776 0 8 _iPrinted edition:
_z9789813341845
776 0 8 _iPrinted edition:
_z9789813341852
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4183-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE