[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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Aug 24, 2026 - Python
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[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker model. DDRO encourages the model to focus on document-level relevance during generation
Unofficial implementation of paper "Recommender Systems with Generative Retrieval" (NeurIPS'23)
The simplest, fastest repository for training/finetuning SemanticIDs for Sequential Recommendation.
[Pytorch] Efficient tokenization for recommendations and generative retrieval. Inspired by STATIC decoding from "Vectorizing the Trie"
Official code for "Generative Retrieval for Cover Song Identification via Audio-Derived Semantic IDs" (accepted at ICECCME 2026, IEEE)
SASRec с нуля на PyTorch (causal self-attention вручную) на Yandex Yambda. Аудио-эмбеддинги квантованы в semantic IDs через RQ-VAE: как замена item-эмбеддингов проигрывают, как дополнение дают +39% к NDCG@10 (0.575 vs 0.413). Ablation из шести моделей
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