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A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms
2022
ACM Transactions on Information Systems
In recommender system, top- N recommendation is an important task with implicit feedback data. Although the recent success of deep learning largely pushes forward the research on top- N recommendation, there are increasing concerns on appropriate evaluation of recommendation algorithms. It becomes emergent to study how recommendation algorithms can be reliably evaluated and thoroughly verified. This work presents a large-scale, systematic study on six important factors from three aspects for
doi:10.1145/3545796
fatcat:lwn5xjw7jvaunapyllu7rqjnfi