Multi-modality is all you need for transferable recommender systems

Y Li, H Du, Y Ni, P Zhao, Q Guo… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
ID-based Recommender Systems (RecSys), where each item is assigned a unique identifier
and subsequently converted into an embedding vector, have dominated the de-signing of …

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability

X Zhou, C Miao - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
Multimodal recommender systems amalgamate multimodal information (eg, textual
descriptions, images) into a collaborative filtering framework to provide more accurate …

Advancing Sustainability via Recommender Systems: A Survey

X Zhou, L Zhang, H Zhang, Y Zhang, X Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Human behavioral patterns and consumption paradigms have emerged as pivotal
determinants in environmental degradation and climate change, with quotidian decisions …

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

J Fu, X Ge, X **n, A Karatzoglou, I Arapakis… - arxiv preprint arxiv …, 2024 - arxiv.org
Multimodal foundation models (MFMs) have revolutionized sequential recommender
systems through advanced representation learning. While Parameter-efficient Fine-tuning …