{"title":"基于知识图谱的moba游戏冠军推荐","authors":"Yihong Shen, Jing Zhou, Weiguo Lin","doi":"10.1109/ICCST53801.2021.00121","DOIUrl":null,"url":null,"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.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge Graph-Based MOBA-Game Champion Recommendation\",\"authors\":\"Yihong Shen, Jing Zhou, Weiguo Lin\",\"doi\":\"10.1109/ICCST53801.2021.00121\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":222463,\"journal\":{\"name\":\"2021 International Conference on Culture-oriented Science & Technology (ICCST)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Culture-oriented Science & Technology (ICCST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCST53801.2021.00121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCST53801.2021.00121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
随着电子竞技产业的快速发展，各种比赛层出不穷。最引人注目的赛事是与《英雄联盟》(League of Legends)有关的赛事，不仅设计公司努力为玩家提供更广泛的冠军选择，俱乐部锦标赛分析师也在关注阵容。由于冠军之间存在较强的关系约束，因此设计一个面向玩家和电子竞技运动员的冠军阵容选择推荐系统成为一个有价值的研究课题。利用2020年夏季赛和同期选手数据，提出了基于知识图谱技术的冠军阵容推荐方案，并对结果进行了验证和分析。
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.
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