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Nian Li

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Preprint Aug 2026

Tlow: Flow-based Item Tokenizer for Recommendation

Item tokenizer encodes semantic embeddings into token IDs to replace the randomly assigned item IDs used in traditional recommendation models, fundamentally addressing the problems of excessive parameters and cold starts. However, the most common tokenizer, RQ-VAE, suffers from low decoding efficiency due to the inhere...

Nian Li, Chonggang Song, Jing-Tao Ding et al. · 0 citations

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