Chun Kit Fu¹ Yu Sun², ¹USA, ²California State Polytechnic University, USA

Hosts are often desperate to find ways to rent their house, However, most of them do not have possess the knowledge of knowing what type of image cover would grasp the attention of their customer. Gilded by these needs, I have designed an application that uses machine learning to find the relationship between the images and their rating [1]. I first used JSON to convert the HTML file resource to a format where we can use in python for web scraping [2]. This paper designs an application tool to find all the object or characters inside images by web scraping and changes it into a model for machine learning [3]. Applied our application to predict the rating and conducted a qualitative evaluation of the approach. In order to prove our result, I imported an image from Airbnb and found its rating. It turns out that the predicted rating is extremely close to the real rating, Proving The system’s usability.

Web scraping, Machine learning, Airbnb