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multimodal recommendation

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DataFunSummit
DataFunSummit
Oct 3, 2024 · Artificial Intelligence

A Survey of Multimodal Recommendation Systems: From Background to Future Directions

This article reviews the latest academic advances in multimodal recommendation systems, covering background, system workflow, modal encoders, feature interaction (connection, fusion, filtering), feature enhancement, model optimization, and future research challenges.

AIfeature enhancementfeature interaction
0 likes · 18 min read
A Survey of Multimodal Recommendation Systems: From Background to Future Directions
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 23, 2024 · Artificial Intelligence

AlignRec: A Joint Training Framework for Aligning Multimodal Representations with Personalized Recommendation

AlignRec is a joint‑training framework that synchronizes multimodal encoders with personalized recommendation models through a staged alignment strategy and three specialized loss functions, preserving both content and ID signals, and achieving state‑of‑the‑art performance on multiple datasets while releasing superior Amazon multimodal features.

AIevaluation metricsjoint training
0 likes · 11 min read
AlignRec: A Joint Training Framework for Aligning Multimodal Representations with Personalized Recommendation