A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Hierarchical Transformers for Group-Aware Sequential Recommendation: Application in MOBA Games
2022
User Modeling, Adaptation, and Personalization
In recent years, several recommendation systems have been introduced to improve the user experience of players in video games. In Multiplayer Online Battle Arena (MOBA) games, a popular game genre, these systems are useful for recommending items for a character during a match. Current approaches focus on recommending a fixed set of items based on a character and the other participants. However, a MOBA match is an inherently sequential process, where its past decisions define the current ones.
doi:10.1145/3511047.3537667
dblp:conf/um/AraujoSLVP22
fatcat:fqrzhjx3lvhcxpv53gcs3biyyi