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Jujia Zhao

2 accepted papers

2025

A Federated Framework for LLM-based Recommendation

NAACL 2025findings

Large Language Models (LLMs) have showcased their potential in building generative recommendation systems through fine-tuning user behavior data. However, utilizing the user behavior data may pose significant privacy risks like in the traditional recommender models, potentially leading to ethical di…

2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

AAAI 2024technical

Collaborative Filtering (CF) recommender models highly depend on user-item interactions to learn CF representations, thus falling short of recommending cold-start items. To address this issue, prior studies mainly introduce item features (e.g., thumbnails) for cold-start item recommendation. They le…