Dietz et al., 2022 - Google Patents
A comparative study of data-driven models for travel destination characterizationDietz et al., 2022
View HTML- Document ID
- 50452051971007065
- Author
- Dietz L
- Sertkan M
- Myftija S
- Thimbiri Palage S
- Neidhardt J
- Wörndl W
- Publication year
- Publication venue
- Frontiers in big data
External Links
Snippet
Characterizing items for content-based recommender systems is a challenging task in complex domains such as travel and tourism. In the case of destination recommendation, no feature set can be readily used as a similarity ground truth, which makes it hard to evaluate …
- 238000010192 crystallographic characterization 0 title abstract description 36
Classifications
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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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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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- G06Q30/0202—Market predictions or demand forecasting
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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