Web: http://arxiv.org/abs/2206.10848

June 23, 2022, 1:10 a.m. | Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

cs.LG updates on arXiv.org arxiv.org

Recently, one critical issue looms large in the field of recommender systems
-- there are no effective benchmarks for rigorous evaluation -- which
consequently leads to unreproducible evaluation and unfair comparison. We,
therefore, conduct studies from the perspectives of practical theory and
experiments, aiming at benchmarking recommendation for rigorous evaluation.
Regarding the theoretical study, a series of hyper-factors affecting
recommendation performance throughout the whole evaluation chain are
systematically summarized and analyzed via an exhaustive review on 141 papers
published at …

arxiv benchmarking evaluation recommendation

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