arbiter
JournalsPricingAccount

Application of scenic spot recommendation model combined with TDRA in tourism service management under the background of big data

Xiao Hu

International Journal of Technology Intelligence and Planning2024https://doi.org/10.1504/ijtip.2024.145510article
AJG 1
Weight
0.30

What the paper says

To improve the search efficiency of group travellers for travel information and optimise user experience, a model combining tourist attractions and travel route planning, namely the algorithm based on time, region, and popularity (TRPA), is proposed. The model first analyses the group travel recommendation algorithm that combines spatiotemporal factors and the popularity of travel attractions. Then it is introduced into the route algorithm based on time division (TDRA) model to further plan group travel routes, fully considering factors such as geography, time, and tourist attraction flow that affect people's travel decisions. The validation results on the dataset showed that the highest rating rate of TRPA-TDRA model reached 38%, which was about 30% higher than other models. This study fills the research gap in group travel attraction recommendation algorithms, providing new theoretical and methodological support for tourism management practices.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijtip.2024.145510

Or copy a formatted citation

@article{xiao2024,
  title        = {{Application of scenic spot recommendation model combined with TDRA in tourism service management under the background of big data}},
  author       = {Xiao Hu},
  journal      = {International Journal of Technology Intelligence and Planning},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtip.2024.145510},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Application of scenic spot recommendation model combined with TDRA in tourism service management under the background of big data

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.