Papers with Generative Recommender

    1 papers
    Enhancing Time Awareness in Generative Recommendation (2025.findings-emnlp)

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    Challenge: Existing models focus on sequential order of items and neglect to handle temporal dynamics . existing models neglect to capture hidden user preferences via various temporal signals .
    Approach: They propose a model that generates recommendations into a text-to-text generation task . they introduce Time-aware Prompting and Trend-awful Inference .
    Outcome: The proposed model outperforms state-of-the-art models with gains of 15.4% and 14.3% . it is based on time-aware Prompting and Trend-awful Inference .

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