Research on The Product Strategy of Online Short-term Rental Platform

With the rapid development of the Internet economy, online short-term rent has become more and more people's first choice for travel. However, the online short-term rental industry has a short history of development and lacks normative service standards. It is faced with a series of problems such as legality, security and service guarantee. Therefore, it is an urgent problem to provide customers with more human interest and personalized accommodation experience and to improve customer satisfaction. Through the crawler technology, the establishment of Bayesian network model to explore the main factors leading to low customer satisfaction. The research found that the problems existing in the online short-term rental platform homestay products, including old homestay houses, unreasonable room layout, and so on. This paper will aim at the above problems and put forward the product strategy optimization suggestions.