Data mining for item recommendation in MOBA games

Author:

Araujo Vladimir1,Rios Felipe1,Parra Denis1

Affiliation:

1. Pontificia Universidad Católica de, Chile, Santiago, Chile

Funder

Millennium Institute for Foundational Research on Data (IMFD)

Publisher

ACM

Reference22 articles.

1. Xavier Amatriain and Josep M. Pujol. 2015. Data Mining Methods for Recommender Systems. In Recommender Systems Handbook. Springer US 227--262. Xavier Amatriain and Josep M. Pujol. 2015. Data Mining Methods for Recommender Systems. In Recommender Systems Handbook . Springer US 227--262.

2. A Machine-Learning Item Recommendation System for Video Games

3. Paolo Campanelli. 2017. League of Legends Ranked Matches data retrieved from Kaggle https://www.kaggle.com/paololol/league-of-legends-ranked-matches. Paolo Campanelli. 2017. League of Legends Ranked Matches data retrieved from Kaggle https://www.kaggle.com/paololol/league-of-legends-ranked-matches.

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1. A Feature Comparison Study of Live Companion Tools for Esports Games;Proceedings of the 19th International Conference on the Foundations of Digital Games;2024-05-21

2. Recommender Selection System for the Game Using Bonferroni Mean Based TOPSIS;2023 8th International Conference on Electrical, Electronics and Information Engineering (ICEEIE);2023-09-28

3. A Pre-game Item Recommendation Method Based on Self-Supervised Learning;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

4. Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping;IEEE Transactions on Games;2023

5. Multi-Objective Multi-Instance Learning: A New Approach to Machine Learning for eSports;Entropy;2022-12-23

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