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Yandex
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Pretraining item embeddings can be a double-edged sword鈥攂eneficial in low-resource settings but redundant in large-scale scenarios.
Stop wasting tokens: Variable-length semantic IDs dramatically improve recommender system performance by adapting item representation length to item popularity, mirroring how humans communicate.
