Knowledge Graph-Based MOBA-Game Champion Recommendation

Abstract

With the rapid development of the e-sports industry, various competitions are being held. The most high-profile events are those related to League of Legends, where not only are design companies struggling to provide players with a wider selection of champions, but club tournament analysts are also focusing on line-up. Since there are strong relationship constraints between champions, it becomes a valuable research topic to design a champion lineup selection recommender for players and e-sports athletes. Using the data of the 2020 summer tournament and of the players in the same period, we proposed a recommendation scheme of the champion lineup based on the knowledge graph technique and the results were verified and analyzed.