Research and Implementation of Machine Learning Algorithms in Tourism Recommendation

The role of travel recommendation in the tourism industry is very important, but there is the problem that travel recommendation reviews are not true. Ordinary methods cannot solve the problem of travel recommendation in the tourism industry, and the recommendation is unreasonable. Therefore, this paper proposes a machine learning algorithm to conduct real travel recommendation analysis. First of all, the computer is used to collect and analyze the tourism review data, and the indicators are divided according to the requirements of tourism recommendation to reduce it Distractions in travel recommendations. Then, the computer analyzes the results of tourism recommendation in the tourism industry, forms a tourism recommendation plan, and recommends tourism The results were comprehensively analyzed. MATLAB simulation shows that under certain evaluation criteria, machine learning algorithms can make tourism recommendations accurate to the tourism industry The authenticity of travel recommendations is better than ordinary methods.