12/21/2023 0 Comments Google radiant playerIn the field of tourism, many destinations are familiar with receiving visitors motivated to travel for traditional sport events. Furthermore, a comprehensive user survey confirms that DraftRec provides convincing and satisfying recommendations. Empirically, our method achieved state-of-the-art performance in character recommendation and match outcome prediction task. We train and evaluate our model from a manually collected 280,000 matches of League of Legends and a publicly available 50,000 matches of Dota2. The player network captures the individual player's champion preference, and the match network integrates the complex relationship between the players and their respective champions. DraftRec consists of two networks: the player network and the match network. To alleviate this problem, we propose DraftRec, a novel hierarchical model which recommends characters by considering each player's champion preferences and the interaction between the players. However, the complexity of drafting induces difficulties for beginners to choose the appropriate characters based on the characters of their team while considering their own champion preferences. When drafting, players select characters by not only considering their character preferences, but also the synergy and competence of their team's character combination. When playing MOBA games, players go through a draft stage, where they alternately select a virtual character to play. This paper presents a personalized character recommendation system for Multiplayer Online Battle Arena (MOBA) games which are considered as one of the most popular online video game genres around the world. We conclude by discussing translatable implications for esports governance practice and research. These findings about rule enforcement allow us to characterize the esports governance of LoL as top-down and paternalistic, and to reflect upon professional players' work and professionalization in the esports context. ![]() Through a two-stage, mixed-methods analysis of rule enforcement that Riot Games, LoL’s developer and publisher, has performed against esports participants such as professional players and teams, we qualitatively describe rule breaking behaviors and penalties in LoL esports, and quantitatively measure how contextual factors such as time, perpetrator identity, and region might influence governance outcomes. ![]() In this study, we explore esports governance in League of Legends (LoL), a major esports title. ![]() The esports industry has seen various attempts at governance structure but is yet to form a consensus. Esports, like traditional sports, face governance challenges such as foul play and match fixing.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |