PLRS: Personalized Literature Hybrid Recommendation System with Paper Influence

The traditional management platform of academic literature depends on the active retrieval of users, and the accuracy of literature retrieval results cannot be guaranteed. In our demonstration, we introduce the personalized literature hybrid recommendation system with paper influence (PLRS for short). The innovation of PLRS is that it can calculate the influence of literature, address the issue of cold start, and actively provide users with high-quality literature in line with users' interests combined with cascade hybrid recommendation algorithm.