Papers with cold-start users

    1 papers
    Integrating Group-based Preferences from Coarse to Fine for Cold-start Users Recommendation (2025.coling-main)

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    Challenge: Existing approaches to cross-domain recommendation (CDR) draw on historical purchase records or reviews to generate user representations.
    Approach: They propose a model that integrates preferences from coarse to fine levels to improve recommendations for cold-start users.
    Outcome: The proposed model outperforms state-of-the-art approaches on three CDR tasks.

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