Ding et al., 2023 - Google Patents
Analyzing factors on tourist movement predictability: a study based on social media dataDing et al., 2023
View PDF- Document ID
- 3076389924850100697
- Author
- Ding D
- Zhang Y
- Liu Y
- Gao Y
- Publication year
- Publication venue
- International Journal of Digital Earth
External Links
Snippet
The ability to predict tourist movements has various practical applications, including recommendation, target marketing, and destination planning. Predictability determines the limit of the prediction accuracy of data and models and helps us understand the factors …
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/3087—Spatially dependent indexing and retrieval, e.g. location dependent results to queries
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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