From Implicit Preferences to Ratings: Video Games Recommendation based on Collaborative Filtering
Rosária Bunga, Fernando Batista, Fernando Batista, Ricardo Ribeiro, Ricardo Ribeiro
2021
Abstract
This work studies and compares the performance of collaborative filtering algorithms, with the intent of proposing a videogame-oriented recommendation system. This system uses information from the video game platform Steam, which contains information about the game usage, corresponding to the implicit feedback that was later transformed into explicit feedback. These algorithms were implemented using the Surprise library, that allows to create and evaluate recommender systems that deal with explicit data. The algorithms are evaluated and compared with each other using metrics such as RSME, MAE, Precision@k, Recall@k and F1@k. We have concluded that computationally low demanding approaches can still obtain suitable results.
DownloadPaper Citation
in Harvard Style
Bunga R., Batista F. and Ribeiro R. (2021). From Implicit Preferences to Ratings: Video Games Recommendation based on Collaborative Filtering. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR; ISBN 978-989-758-533-3, SciTePress, pages 209-216. DOI: 10.5220/0010655900003064
in Bibtex Style
@conference{kdir21,
author={Rosária Bunga and Fernando Batista and Ricardo Ribeiro},
title={From Implicit Preferences to Ratings: Video Games Recommendation based on Collaborative Filtering},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR},
year={2021},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010655900003064},
isbn={978-989-758-533-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR
TI - From Implicit Preferences to Ratings: Video Games Recommendation based on Collaborative Filtering
SN - 978-989-758-533-3
AU - Bunga R.
AU - Batista F.
AU - Ribeiro R.
PY - 2021
SP - 209
EP - 216
DO - 10.5220/0010655900003064
PB - SciTePress