Development of Ecological Health Tourism Products under the Background of Internet+

With the development of domestic economy and improvement people’s living standard, tourism has become more popular as a leisure lifestyle. The explosive growth mobile Internet caused problem “information overload”. travel recommendation system can help tourists obtain information that users are interested in from massive data. Ecological health is special product with ecological environment background activities theme. China’s urbanization intensification population aging, Chinese demand for products market becoming stronger stronger, prospect extremely broad, but there not much research this field academic circles at present. This paper applies Collaborative Filtering (CF) to provide accurate services. However, because traditional CF only relies on single user’s rating data, its own defects, it cannot meet complex needs industry. improves designs implements basis. Combine Spark cloud computing platform technology TC-Personal Rank algorithm achieve breakthrough algorithm. Through experiments, be found accuracy improved by 75.3% designed paper. Overall, recall rate reach 65.7%. And also good results satisfaction coverage.