Research Article
Intelligent Recommendation Method of Sports Tourism Route Based on Cyclic Neural Network
@INPROCEEDINGS{10.1007/978-3-031-18123-8_26, author={Xiangyu Xu and Zhiqiang Wang}, title={Intelligent Recommendation Method of Sports Tourism Route Based on Cyclic Neural Network}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Recurrent neural network Sports tourism route Intelligent recommendation Clustering processing Collaborative filtering}, doi={10.1007/978-3-031-18123-8_26} }- Xiangyu Xu
Zhiqiang Wang
Year: 2022
Intelligent Recommendation Method of Sports Tourism Route Based on Cyclic Neural Network
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_26
Abstract
Due to the low matching degree between scenic spot characteristics and tourists’ interests, the accuracy of route recommendation is low. Therefore, an intelligent recommendation method of sports tourism route based on cyclic neural network is designed. On the premise of determining the recommendation target of sports tourism route, the characteristics of sports tourism attractions and routes and tourists’ interest are extracted. After clustering, the recommendation list is collaborative filtered from the perspective of tourists. Finally, the circular neural network is used to optimize the recommended route. The test results show that the MAE of the design method opinion results is basically within 0.1, which has high accuracy.
