Ecotourism recommendation technology based on Scrapy crawler technology and graph neural network
In this paper,the ecotourism recommendation technology based on Scrapy crawler technology and graph neural network is studied,an ecotourism recommendation system integrating graph neural network and attention mechanism is designed,and the data set is established by using Scrapy crawler technology to test and verify the system.Firstly,the overall framework of the system is de-signed,the basic algorithm is selected,and the user preference model,the interaction relationship of ecotourism projects,the attrib-ute relationship model and the scoring prediction model are constructed,and finally the comprehensive recommendation results are ob-tained.Finally,the system is experimentally tested.The experimental results show that the MAE and RMSE values of the recommen-dation system in this study are the lowest,and compared with the recommendation system based on Graphrec algorithm,the MAE val-ue is increased by 3.274％,and the RMSE value is increased by 3.124％,which proves that the recommendation system in this study is suitable for ecotourism project recommendation and has good recommendation effect.
scrapy crawler technologyecotourismgraph neural networksattention mechanismsreferral system
万方数据
维普
