论文标题
使用协作过滤推荐英雄联盟的冠军
Using Collaborative Filtering to Recommend Champions in League of Legends
论文作者
论文摘要
英雄联盟（LOL）是世界上最广泛的计算机游戏之一，拥有140多个可玩角色，称为冠军，具有高度不同的比赛风格。但是，向大声笑的球员提供冠军建议的工作并不多。在本文中，我们提出了一种基于合作过滤方法的推荐系统，使用单数值分解提供了玩家喜欢的冠军建议。我们讨论建议系统背后的实现，并使用初步用户研究评估系统的实用性。我们的结果表明，与随机建议相比，玩家非常喜欢从系统中提出的建议。
League of Legends (LoL), one of the most widely played computer games in the world, has over 140 playable characters known as champions that have highly varying play styles. However, there is not much work on providing champion recommendations to a player in LoL. In this paper, we propose that a recommendation system based on a collaborative filtering approach using singular value decomposition provides champion recommendations that players enjoy. We discuss the implementation behind our recommendation system and also evaluate the practicality of our system using a preliminary user study. Our results indicate that players significantly preferred recommendations from our system over random recommendations.
