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This is a Experimental Study study.

October 9, 2025Open Access

RecGPT Technical Report

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Proposes a novel design that integrates user intent and large language models, suggesting improved user satisfaction and engagement.

RecGPT improves user satisfaction by placing user intent at the forefront of recommendations.
Integration of large language models in user interest mining results in enhanced content diversity.
The intent-centric approach mitigates issues like filter bubbles and overfitting from historical patterns.
Online experiments show that a multi-stage training paradigm boosts performance for users and merchants.

Chao et al. (2025) studied this question.

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