Codebook-based semantic IDs (SIDs), short discrete code sequences produced by quantization over item representations, made generative recommendation practical by turning catalog-scale retrieval into low-cardinality generation. Yet the same interface now concentrates the field’s hardest questions. We revisit the canonic...
Danil Gusak, Evgeny Frolov· Proceedings of the 20th ACM...· 3 citations
Generative recommenders retrieve items by autoregressively decoding semantic IDs (SIDs). The standard autoregressive SID interface (SID-AR) represents each history item with K code tokens, expanding a T-item history to TK tokens, while trie-constrained beam search repeatedly re-enters the full backbone during generatio...
Danil Gusak, A. Volodkevich, Evgeny Frolov· Proceedings of the 20th ACM...· 1 citation
Codebook-based semantic IDs (SIDs), short discrete code sequences produced by quantization over item representations, made generative recommendation practical by turning catalog-scale retrieval into low-cardinality generation. Yet the same interface now concentrates the field’s hardest questions. We revisit the canonic...
Danil Gusak, Evgeny Frolov· Proceedings of the 20th ACM...· 3 citations
CoSID is introduced, a concept-conditioned SID decoder that encodes the history once into a compact next-item concept and delegates the entire beam search to a lightweight KV-cached decoder.
Danil Gusak, A. Volodkevich, Evgeny Frolov· Proceedings of the 20th ACM...· 1 citation
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