Lable-based Hybrid Recommendation Algorithm: Implementation and Analysis

Abstract

Recommendation system, as an information filtering method, has been widely applied and the hybrid recommendation algorithm is by far the most commonly used technique. But in the field of online learning system, recommendation system is not mature enough. In this paper, we analyzed the Tianjin University Online Judge, established a model to apply the recommendation algorithm to it, and then proposed a label-based hybrid recommendation algorithm which is applicable to the system. Also, by conducting experiments on real users’ data of Tianjin University Online Judge System, we evaluated our algorithm and obtained good results.