標(biāo)題: Titlebook: Analytics in Smart Tourism Design; Concepts and Methods Zheng Xiang,Daniel R. Fesenmaier Book 2017 Springer International Publishing Switze [打印本頁(yè)] 作者: Diverticulum 時(shí)間: 2025-3-21 19:43
書目名稱Analytics in Smart Tourism Design影響因子(影響力)
書目名稱Analytics in Smart Tourism Design影響因子(影響力)學(xué)科排名
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書目名稱Analytics in Smart Tourism Design網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Analytics in Smart Tourism Design被引頻次
書目名稱Analytics in Smart Tourism Design被引頻次學(xué)科排名
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書目名稱Analytics in Smart Tourism Design讀者反饋
書目名稱Analytics in Smart Tourism Design讀者反饋學(xué)科排名
作者: Coma704 時(shí)間: 2025-3-21 23:21
Geospatial Analytics for Park & Protected Land Visitor Reservation Datae value of, and the methodology for, inductively exploring spatiotemporal PPL reservation data through geovisualization. Efforts such as those described in this chapter can provide decision support to managers of Federal, State and County agencies tasked with tourism and resource management.作者: 錫箔紙 時(shí)間: 2025-3-22 02:37 作者: dura-mater 時(shí)間: 2025-3-22 08:13 作者: Immortal 時(shí)間: 2025-3-22 12:02 作者: 細(xì)菌等 時(shí)間: 2025-3-22 15:32 作者: MERIT 時(shí)間: 2025-3-22 20:04 作者: Cpap155 時(shí)間: 2025-3-23 00:48 作者: PACT 時(shí)間: 2025-3-23 03:00 作者: Nonthreatening 時(shí)間: 2025-3-23 08:46
Analytics in Smart Tourism Design978-3-319-44263-1Series ISSN 2366-2611 Series E-ISSN 2366-262X 作者: 繼承人 時(shí)間: 2025-3-23 10:33 作者: 過份艷麗 時(shí)間: 2025-3-23 16:45
Zheng Xiang,Daniel R. FesenmaierPresents cutting-edge research on the development of analytics in travel and tourism.Introduces new conceptual frameworks and measurement tools.Includes several relevant case studies for the applicati作者: FER 時(shí)間: 2025-3-23 20:12
Tourism on the Vergehttp://image.papertrans.cn/a/image/156719.jpg作者: follicular-unit 時(shí)間: 2025-3-24 01:06 作者: 樹木中 時(shí)間: 2025-3-24 03:44 作者: Priapism 時(shí)間: 2025-3-24 09:10
Lecture Notes in Computer Scienceof generating customer-based knowledge through tourists’ feedback and information traces. The first section introduces the concept of generating big data in travel demand, by describing the different customer-based data that can be obtained from explicit and implicit tourists’ feedback. The second s作者: 披肩 時(shí)間: 2025-3-24 12:05 作者: 財(cái)政 時(shí)間: 2025-3-24 15:11
https://doi.org/10.1007/978-3-030-11072-7posited that technologies related to the quantified self perfectly match the needs of context-relevant information and therefore offers a number of opportunities to shape tourism experiences. As such, the information collected through this technology enables tourism destinations to understand not on作者: Affection 時(shí)間: 2025-3-24 22:27
Continuous Protocols for Swarm Roboticsout both destination usage (from the supply side) and visitor characteristics (the demand population). Unfortunately, PPL reservation databases are rarely explored with these goals in mind. Geovisualizations of reservation data can be used to identify longitudinal patterns, trends and relationships 作者: MOAT 時(shí)間: 2025-3-25 02:11 作者: 虛情假意 時(shí)間: 2025-3-25 03:45 作者: eucalyptus 時(shí)間: 2025-3-25 08:07 作者: 放逐 時(shí)間: 2025-3-25 15:33 作者: 控制 時(shí)間: 2025-3-25 19:23 作者: Provenance 時(shí)間: 2025-3-25 23:56 作者: detach 時(shí)間: 2025-3-26 00:15
Ayman Massaoudi,Noura Sellami,Mohamed Sialahey attract worldwide visibility and publicity, provide a nucleus for a positively framed public discourse, and have the potential to improve attitudes toward countries and the destinations within them. This study investigates how the Sochi Olympics were portrayed on Twitter by hosts and guests. The作者: 類人猿 時(shí)間: 2025-3-26 07:27
Ayman Massaoudi,Noura Sellami,Mohamed Siala by which hoteliers manage their online reputation. As a component of “big data,” online reviews provide valuable information for hoteliers to facilitate the identification of customer intelligence and the emerging patterns in hotel preferences. An analysis of academic studies and the current practi作者: 課程 時(shí)間: 2025-3-26 10:36 作者: dagger 時(shí)間: 2025-3-26 12:54 作者: 得罪人 時(shí)間: 2025-3-26 19:49 作者: GROG 時(shí)間: 2025-3-27 00:20 作者: 簡(jiǎn)略 時(shí)間: 2025-3-27 01:48
Conceptualizing and Measuring Online Behavior Through Social Media Metricsed on web metrics and business objectives are different representations of this multi-dimensional network. The ultimate goal of measuring economic values needs to rely on the quantification of this network, its evolution and connection with business performance.作者: Rodent 時(shí)間: 2025-3-27 06:39
Leveraging Online Reviews in the Hotel Industryces of hoteliers is performed to collate and clarify the issues related to online reviews, as well as their influence on hotel performance. The successful and poor responses of hotel management to online reviews are presented to illustrate the best practices in enhancing hotel guest experiences and reputation management.作者: mortgage 時(shí)間: 2025-3-27 09:53
Imen Jemili,Mohamed Mosbah,Leo Mendibourempaigns. The extracted knowledge is analyzed from a destination image perspective, incorporating Aaker’s dimensions of brand personality. The chapter highlights the importance of real-time analytics solutions for marketers to respond in a timely manner and adapt their positioning strategies.作者: 調(diào)味品 時(shí)間: 2025-3-27 17:26 作者: Flu表流動(dòng) 時(shí)間: 2025-3-27 18:08
Naga Raju Jangam,G. P. Ramesh,P. Rachanater understanding of how a traveler creates touristic experiences. As such, it is argued that capturing ‘human sensing’ data offers the potential to transform the way tourism researchers measure traveler’s experiences and therefore design touristic environments.作者: 初次登臺(tái) 時(shí)間: 2025-3-28 00:45 作者: anticipate 時(shí)間: 2025-3-28 04:04
Sana Ben Hassine,Elyes Kooli,Raafa Mraihisis of titles and other paratextual elements of a random sample of 300,000 OTRs of two tourist regions of the European Union. The findings in both regions are in agreement indicating that the most frequent keywords of UGC (good feelings) and WGC (destinations and attractions) are complementary.作者: ARK 時(shí)間: 2025-3-28 08:43 作者: patriot 時(shí)間: 2025-3-28 12:42 作者: ORE 時(shí)間: 2025-3-28 18:06
GIS Monitoring of Traveler Flows Based on Big Datagative binomial spatial interaction model highlight several determinants of tourist flows, including the distance between the origin and destination, the size of economies in the origin and destination, the hotel infrastructure in the destination, and the number of world heritage sites and AAAA scenic spots in the destination?areas.作者: 音樂等 時(shí)間: 2025-3-28 21:22 作者: 真繁榮 時(shí)間: 2025-3-29 02:24
Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamicsient before, during, and after the games? What are the temporal dynamics of issues concerning the Sochi Olympics? The chapter illustrates an analytical approach to extracting topical, spatial, and temporal information from Twitter messages.作者: 公社 時(shí)間: 2025-3-29 04:14
2366-2611 ols.Includes several relevant case studies for the applicatiThis book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management作者: 鴕鳥 時(shí)間: 2025-3-29 09:54
https://doi.org/10.1007/978-3-030-11072-7portunities to shape tourism experiences. As such, the information collected through this technology enables tourism destinations to understand not only each individual traveler, but also the collective market in much greater detail, and consequently enables them to design much more compelling and efficient tourism services.作者: 反饋 時(shí)間: 2025-3-29 15:18
The Quantified Traveler: Implications for Smart Tourism Developmentportunities to shape tourism experiences. As such, the information collected through this technology enables tourism destinations to understand not only each individual traveler, but also the collective market in much greater detail, and consequently enables them to design much more compelling and efficient tourism services.作者: 套索 時(shí)間: 2025-3-29 17:54 作者: 使顯得不重要 時(shí)間: 2025-3-29 21:27
Lecture Notes in Computer Scienceection looks at empirical problems that one finds when examining travel demand through big data, the third section presents several research avenues that can be opened and the fourth section provides some closing thoughts.作者: choroid 時(shí)間: 2025-3-30 00:20
https://doi.org/10.1007/978-3-031-02008-7d enjoyable than moderate ratings. Additionally, the findings of this research indicate the usefulness of the negative binomial model, which allows researchers to manage the features of count data as well as address the heteroscedasticity in linear regression and the overdispersion problem in the Poisson regression model.作者: Focus-Words 時(shí)間: 2025-3-30 05:08 作者: Innocence 時(shí)間: 2025-3-30 10:14
Ayman Massaoudi,Noura Sellami,Mohamed Sialaces of hoteliers is performed to collate and clarify the issues related to online reviews, as well as their influence on hotel performance. The successful and poor responses of hotel management to online reviews are presented to illustrate the best practices in enhancing hotel guest experiences and reputation management.作者: 大火 時(shí)間: 2025-3-30 13:24
Analytics in Tourism Design,information technology is transforming the tourism experience and consequentially the needs and opportunities for us to measure and interpret this experience. In addition, it provides an overview of the book as the chapters detail several exciting approaches to analytics research in tourism.作者: EXULT 時(shí)間: 2025-3-30 20:16 作者: oxidize 時(shí)間: 2025-3-30 22:55
Travel Demand Modeling with Behavioral Dataof generating customer-based knowledge through tourists’ feedback and information traces. The first section introduces the concept of generating big data in travel demand, by describing the different customer-based data that can be obtained from explicit and implicit tourists’ feedback. The second s作者: 殺死 時(shí)間: 2025-3-31 01:29
