April 28, 2022, 1:11 a.m. | Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo

cs.LG updates on arXiv.org arxiv.org

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. When playing MOBA
games, players go through a draft stage, where they alternately select a
virtual character to play. When drafting, players select characters by not only
considering their character preferences, but also the synergy and competence of
their team's character combination. However, the complexity of drafting induces
difficulties …

ai arxiv draft games personalized recommendation

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer

@ Parker | New York City

Sr. Data Analyst | Home Solutions

@ Three Ships | Raleigh or Charlotte, NC