Fan Liu is a Research Fellow with the School of Computing, National University of Singapore (NUS). His research interests lie primarily in multimedia computing and information retrieval. His work has been published in a set of top forums, including ACM SIGIR, MM, WWW, TKDE, TOIS, TMM, and TCSVT. He is an area chair of ACM MM and a senior PC member of CIKM.Zhenyang Li is a Postdoc with the Hong Kong Generative Al Research and Development Center Limited. His research interest is primarily in recommendation and visual question answering. His work has been published in a set of top forums, including ACM MM, TIP, and TMM.Liqiang Nie is Professor at and Dean of the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His research interests are primarily in multimedia computing and information retrieval. He has co-authored more than 200 articles and four books. He is a regular area chair of ACM MM, NeurIPS, IJCAI, and AAAI, and a member of the ICME steering committee. He has received many awards, like the ACM MM and SIGIR best paper honorable mention in 2019, SIGMM rising star in 2020, TR35 China 2020, DAMO Academy Young Fellow in 2020, and SIGIR best student paper in 2021.

• Preface .- 1) Introduction .- 2) Semantic-Guided Feature Distillation for Multimodal Recommendation .- 3) User Diverse Preference Modeling by Multimodal Attentive Metric Learning .- 4) Disentangled Multimodal Representation Learning for Recommendation .- 5) Dynamic Multimodal Fusion via Meta-Learning Towards Multimodal Recommendation .- 6) Attribute-driven Disentangled Representation Learning for Multimodal Recommendation .- 7) Research Frontiers.

Fan Liu is a Research Fellow with the School of Computing, National University of Singapore (NUS). His research interests lie primarily in multimedia computing and information retrieval. His work has been published in a set of top forums, including ACM SIGIR, MM, WWW, TKDE, TOIS, TMM, and TCSVT. He is an area chair of ACM MM and a senior PC member of CIKM.Zhenyang Li is a Postdoc with the Hong Kong Generative Al Research and Development Center Limited. His research interest is primarily in recommendation and visual question answering. His work has been published in a set of top forums, including ACM MM, TIP, and TMM.Liqiang Nie is Professor at and Dean of the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His research interests are primarily in multimedia computing and information retrieval. He has co-authored more than 200 articles and four books. He is a regular area chair of ACM MM, NeurIPS, IJCAI, and AAAI, and a member of the ICME steering committee. He has received many awards, like the ACM MM and SIGIR best paper honorable mention in 2019, SIGMM rising star in 2020, TR35 China 2020, DAMO Academy Young Fellow in 2020, and SIGIR best student paper in 2021.

• Preface .- 1) Introduction .- 2) Semantic-Guided Feature Distillation for Multimodal Recommendation .- 3) User Diverse Preference Modeling by Multimodal Attentive Metric Learning .- 4) Disentangled Multimodal Representation Learning for Recommendation .- 5) Dynamic Multimodal Fusion via Meta-Learning Towards Multimodal Recommendation .- 6) Attribute-driven Disentangled Representation Learning for Multimodal Recommendation .- 7) Research Frontiers.

Fan Liu is a Research Fellow with the School of Computing, National University of Singapore (NUS). His research interests lie primarily in multimedia computing and information retrieval. His work has been published in a set of top forums, including ACM SIGIR, MM, WWW, TKDE, TOIS, TMM, and TCSVT. He is an area chair of ACM MM and a senior PC member of CIKM.Zhenyang Li is a Postdoc with the Hong Kong Generative Al Research and Development Center Limited. His research interest is primarily in recommendation and visual question answering. His work has been published in a set of top forums, including ACM MM, TIP, and TMM.Liqiang Nie is Professor at and Dean of the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His research interests are primarily in multimedia computing and information retrieval. He has co-authored more than 200 articles and four books. He is a regular area chair of ACM MM, NeurIPS, IJCAI, and AAAI, and a member of the ICME steering committee. He has received many awards, like the ACM MM and SIGIR best paper honorable mention in 2019, SIGMM rising star in 2020, TR35 China 2020, DAMO Academy Young Fellow in 2020, and SIGIR best student paper in 2021.

• Preface .- 1) Introduction .- 2) Semantic-Guided Feature Distillation for Multimodal Recommendation .- 3) User Diverse Preference Modeling by Multimodal Attentive Metric Learning .- 4) Disentangled Multimodal Representation Learning for Recommendation .- 5) Dynamic Multimodal Fusion via Meta-Learning Towards Multimodal Recommendation .- 6) Attribute-driven Disentangled Representation Learning for Multimodal Recommendation .- 7) Research Frontiers.