What is it about?
In recent years, the reproducibility of recommendation models has become a severe concern in recommender systems. In light of this challenge, we have previously released a unified, comprehensive and efficient recommendation library called RecBole. With the increasing number of users, we have received a number of suggestions and update requests. This motivates us to make further improvements on our library, so as to meet the user requirements and contribute to the research community.
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Why is it important?
Updates to benchmark the recommendation models. Updates to improve the user friendliness. Updates to summarize the development guidelines.
Perspectives
We believe this update is an important extension to RecBole, which is an invaluable resource to the research community. In the future, we will continuously update RecBole to make it more flexible, up-to-date and user-friendly.
Lanling Xu
Renmin University of China
Read the Original
This page is a summary of: Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3539618.3591889.
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