DaisyRec 2.0: benchmarking recommendation for rigorous evaluation
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 experim...
Main Authors: | Sun, Zhu, Fang, Hui, Yang, Jie, Qu, Xinghua, Liu, Hongyang, Yu, Di, Ong, Yew-Soon, Zhang, Jie |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172177 |
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