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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Big data in tourism research: A literature review
ترجمه فارسی عنوان مقاله:
داده های بزرگ در پژوهش گردشگری: مروری بر مقالات
منبع:
Sciencedirect - Elsevier - Tourism Management , 68 (2018) 301-323: doi:10:1016/j:tourman:2018:03:009
نویسنده:
Jingjing Li a, Lizhi Xu b, c, Ling Tang a, *, Shouyang Wang d, e, Ling Li a
چکیده انگلیسی:
Even at an early stage, diverse big data have been applied to tourism research and made an amazing
improvement. This paper might be the first attempt to present a comprehensive literature review on
different types of big data in tourism research. By data sources, the tourism-related big data fall into
three primary categories: UGC data (generated by users), including online textual data and online photo
data; device data (by devices), including GPS data, mobile roaming data, Bluetooth data, etc.; transaction
data (by operations), including web search data, webpage visiting data, online booking data, etc. Carrying
different information, different data types address different tourism issues. For each type, a systematical
analysis is conducted from the perspectives of research focuses, data characteristics, analytic techniques,
major challenges and further directions. This survey facilitates a thorough understanding of this sunrise
research and offers valuable insights into its future prospects.
Keywords: Tourism research ، Big data ، Literature review ، Tourism management ، Tourist behavior
قیمت: رایگان
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