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06.08.2021 | History

1 edition of DESTINATION RECOMMENDATION SYSTEMS: BEHAVIOURAL FOUNDATIONS AND APPLICATIONS; ED. BY DANIEL R. FESENMAIER. found in the catalog.

DESTINATION RECOMMENDATION SYSTEMS: BEHAVIOURAL FOUNDATIONS AND APPLICATIONS; ED. BY DANIEL R. FESENMAIER.

(seikatsu yōhin haikibutsu hassei yokusei saishiyō jittai jigyō) hōkokusho : Heisei 13-nendo Keizai Sangyōshō itaku chōsa

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        StatementCABI PUBLISHING
        PublishersCABI PUBLISHING
        Classifications
        LC Classificationsnodata
        The Physical Object
        Paginationxvi, 78 p. :
        Number of Pages49
        ID Numbers
        ISBN 100851990231
        Series
        1nodata
        2
        3

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DESTINATION RECOMMENDATION SYSTEMS: BEHAVIOURAL FOUNDATIONS AND APPLICATIONS; ED. BY DANIEL R. FESENMAIER. by CABI PUBLISHING Download PDF EPUB FB2


5: A Behavioral Framework for Destination Recommendation Systems Design, U Gretzel Y-H Hwang and D R Fesenmaier• Divided into six sections this book explores the newest developments in this field, introducing and discussing emerging trends, approaches, models and paradigms, providing visions for the future of eTourism and supporting discussion and elaboration with the help of thorough pedagogic aids.

This book is ideally designed for managers, travel agents, tourism professionals, executives, marketing agencies, academicians, researchers, and graduate-level students seeking current research on the applications of branding strategies in the tourism sector. This area of tourism research and development is referred to as destination marketing systems DMSs and brings together applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences.

Acquiring and Revising Preferences in a Critique-based Mobile Recommender System. Responsibility edited by Daniel R. This book provides students and practitioners with a good understanding of the tourism marketing environment, destination branding, pricing of tourism products, tourism distribution channels, e-tourism, as well as on sustainable and responsible tourism practices, among other topics.

Quang Nhat NGUYEN's publication list

The contents of the book are based on the 2017 ENTER eTourism conference, held in Rome. D-Y Kim, Purdue University, USA and C Morosan, Temple University--• Sharda editor : Tourism Informatics: Visual Travel Recommender Systems, Social Communities and User Interface Design, chapter 5, pp.

Ho Chi Minh City, Vietnam. Then, a set of text data mining methods i. Push Delivery of Product Promotion Advertisements to Mobile Users. The book is a good starting point for researchers conducting research in the area of recommendation systems and to tourism practitioners involved with the design of DRS.

travel recommendations', in Destination Recommendation Systems:. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. 18: Futuring Travel Destination Recommendation Systems, O Stock, ITC-irst, Italy, H Werthner, University of Innsbruck, Austria and M Zancanaro, ITC-irst, Italy. 2 Example set of travel destinations Travel destination item Name Beach City tours Nature Entertainment t1 Vienna x x t2 Yellowstone x t3 New York.

This area of tourism research and development is generally referred to as destination marketing systems DMSs and brings together both applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences.

This area of tourism research and development is generally referred to as destination marketing systems DMSs and brings together both applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences. The main components of the proposed framework and some outstanding features are presented along with a detailed description of a scenario. Chapter: 9 Page no: 137 Author s : Mazanec, J. Chapter: 16 Page no: 257 Author s : Franke, T.