Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation

Yankai Chen, Yifei Zhang, Yingxue Zhang +5

Due to the promising advantages in space compression and inference acceleration, quantized representation learning for recommender systems has become an emerging research direction…