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T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation
Large-scale recommenders increasingly adopt the sequential generative recipe behind large language models, bringing the Transformer into recommendation along with design choices made for text, including Rotary Position Embedding (RoPE). In language models, RoPE encodes token indices for relative pos
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