Study on intelligent travel route recommendation method based on popularity of interest points

In order to improve the accuracy of tourist route recommendation and tourist satisfaction, an intelligent route recommendation method based on the popularity of interest points is proposed. From the perspective of popularity of tourist attractions, tourist travel time and scenic spots travel time, the tourist attractions are scored, and the tourist attractions that meet the needs of tourists are mined according to the score results. POI correlation diagram of tourists' interest points is designed to obtain tourists' interest preferences from the perspective of time and preference degree. Considering the popularity of POI, UPST-TB algorithm is used to integrate the interest tag data, and combined with the content-based recommendation idea to realise the intelligent recommendation of tourism routes. The experimental results show that the proposed method effectively improves the accuracy and recall rate of tourism route recommendation results, and can recommend scientific and reasonable tourism routes for tourists.