Video Resources Recommendation for Online Tourism Teaching in Interactive Network

This study proposes a recommendation system for online video resources in interactive networks to enhance reliable recommendations of tourist educational resources. The video resource recommendation algorithm uses the interactive network hardware to support the platform layer. This layer provides the network communication environment for tourism teaching by realizing information transmission. The data layer uniformly manages the online video resources and user data of tourism teaching. The network tool layer provides various tool units. The application layer invokes various tool units from the network tool layer to develop the recommendation unit of online video resources. Furthermore, an improved mixed latent factor model is designed to recommend high-quality video resources to users by combining video resources and user data in the data layer in this paper. Then, the recommendation result of video resources is presented in the form of a personalized interactive interface. Experimental results show that the proposed algorithm can effectively recommend video resources to users. Meanwhile, the popularity of video resource recommendations is low, which means the novelty degree of recommendation is high. Finally, the experimental results shows that the proposed algorithm has a better interactive performance of video resource recommendation.