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cs.IR2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou +16
In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, th…
cs.IR2020
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
Wayne Xin Zhao, Junhua Chen, Pengfei Wang +2
Top-N item recommendation has been a widely studied task from implicit feedback. Although much progress has been made with neural methods, there is increasing concern on appropriat…