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- W4385992783 abstract "With the development of tourism, the multiple values of recommendation system are reflected. When too many people are online, the system response time is long. To solve these problems, a personalized tourism route recommendation system based on knowledge graph is designed. Hardware part: through digital power supply to obtain analog power, ensure the full range of voltage consistent, connected to the relevant components; Software part: build user interest model, classify different neighbor node structure, use knowledge graph to optimize the scenic spot entity alignment process, obtain candidate site set, comprehensively calculate scenic spot recommendation score, design personalized tourism route recommendation system software storage function. Test results: The average response time of the personalized tourism route recommendation system in this paper and the other two systems were 11.260ms, 17.715ms and 18.129ms respectively. The results show that the application effect of personalized tourism route recommendation system is better after making full use of knowledge graph." @default.
- W4385992783 created "2023-08-19" @default.
- W4385992783 creator A5020204731 @default.
- W4385992783 date "2022-03-01" @default.
- W4385992783 modified "2023-10-14" @default.
- W4385992783 title "Design of personalized tourism route recommendation system based on knowledge graph" @default.
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- W4385992783 doi "https://doi.org/10.1109/icitbs55627.2022.00030" @default.
- W4385992783 hasPublicationYear "2022" @default.
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