HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems
Hyperbolic Residual-Quantized Variational AutoEncoder (HypRQ-VAE), the first framework to learn item indexing in hyperbolic space, is introduced, which significantly improves the performance of recommendation, particularly in recommending tail items.
Long-Feng Wu, Tong Zeng, Giovanni Seni et al.
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