Author

Dongha Kim

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Preprint Aug 2026

From Overlooked to Explored: Recovering Item Relations via Mixture of Perspectives for Sequential Recommendation

Capturing user preference from a user's interaction sequence is the central challenge of Sequential Recommendation (SR). This preference intuitively emerges from inter-item relations: each item transition reflects a preference embedded in the relations between items, making the faithful capture of these relations essen...

Junyoung Kim, Wonbin Kweon, Woojoo Kim et al. · 2 citations

Open access Aug 2026

Personalized federated recommendation via long-horizon local optimization and regularized knowledge guidance

A model-agnostic framework that forms personalized item embeddings through Long-Horizon Local Optimization and injects common global knowledge through intermittent Regularized Knowledge Guidance is proposed and Adaptive Guidance is introduced to control the influence of global knowledge at the user–item interaction lev...

Jaehyung Lim, Wonbin Kweon, Woojoo Kim et al. · Journal of Intelligence and... · 0 citations

Preprint Aug 2026

RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation

RA-VLA is presented, a retrieval-augmented VLA framework that integrates behavior-aligned context retrieval with a grounded execution pipeline that facilitates seamless task adaptation while preserving inference efficiency.

Sanghwan Jang, Minjin Jeon, Minsoo Kim et al. · 1 citation

#machine learning Preprint Aug 2026

Personalized and Multi-View Representation for Federated Cold-Start Recommendation

PMFRec learns a personalized representation generator to produce user-specific item representations from attribute features, and introduces a global multi-view encoder with item-adaptive gating and an orthogonality objective to capture complementary semantic views while reducing cross-view redundancy.

Jaehyung Lim, Wonbin Kweon, Woojoo Kim et al. · 0 citations