| Popis: |
— Tourism is an important sector for many countries around the world, and the recommendation of tourist places is a critical aspect of this industry. In this paper, we propose an imagebased tourist place recommendation system that utilizes deep learning techniques for image recognition and user preference analysis. Our system allows users to upload images of unknown tourist places, which are then analyzed using convolutional neural networks to identify the location. In addition, our system uses collaborative filtering and contentbased filtering techniques to recommend tourist places based on the user's interests and preferences. The system was evaluated using a dataset of tourist places, and the results demonstrate the effectiveness of our approach in recommending relevant tourist places. We also conducted a user study to assess the usability and user experience of the system. Overall, our system provides an innovative and effective solution for image-based tourist place recognition and recommendation, and has the potential to enhance the tourism experience for users. |
