Research And Design Of Rural Leisure Tourism Recommendation System Based On Hadoop

In recent years, with the rapid development of rural leisure tourism, the number of information about rural leisure tourism on the Internet is also growing rapidly. Facing a large number of tourism product information, it is hard for visitors to get the useful part, bringing the problem of information overload. Recommendation system is a powerful method to solve the problem of information overload in the current rural leisure tourism field. It has good development and application prospects, and should be widely used in rural leisure tourism e-commerce system.However, compared with the traditional recommendation system, more factors must be considered by the rural leisure travel recommendation system.Faced with the difficulties in the design of rural leisure tourism recommendation system, on the basis of summing up the previous research results, the research and design of rural leisure tourism recommendation system are as follows:Firstly, a tourists interests model for rural leisure tourism products is proposed, predicting the preferences of tourists on tourism products to determine if the product may be recommended;Secondly, a method of adaptive weight calculation is proposed.According to this method, a recommendation algorithm based on adaptive weight is proposed forthe application of rural leisure tourism, considering a variety of recommendation factors.Finally, a experiment is carried out to verify the performance of the proposed algorithm based on adaptive weight, and the system architecture ofHadoop based rural leisure tourism recommendation system is designed,whose operation task is also introduced.