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As a crucial component of most modern deep recommender systems, feature embedding maps high-dimensional sparse user/item features into low-dimensional dense embeddings.
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Towards Open Benchmarking for Recommender Systems
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AutoML for Deep Recommender Systems: A Survey
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, and Hongzhi Yin. 2022 · 2022
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