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Found 4 papers, 0 papers with code
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games
The merits of our model are twofold: (1) the captured synergy and opposition relationships are sensible to experienced human players' perception; (2) the learned numerical representations of game avatars allow many important downstream tasks, such as similar avatar search, match outcome prediction, and avatar pick recommender.
EOMM: An Engagement Optimized Matchmaking Framework
We will demonstrate, however, that this intuitive assumption sometimes fails and that matchmaking based on fairness is not optimal for engagement.
Player Skill Decomposition in Multiplayer Online Battle Arenas
Successful analysis of player skills in video games has important impacts on the process of enhancing player experience without undermining their continuous skill development.
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation
Geo-SAGE considers both user personal interests and the preference of the crowd in the target region, by exploiting both the co-occurrence pattern of spatial items and the content of spatial items.
