MMSR 2024
Multimodal Search and Recommendations 2024

Table of Contents

• Preface
  Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume.

Accepted Papers

• CBVS: A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search Scenarios
  Xiangshuo Qiao , Xianxin Li , Xiaozhe Qu , Jie Zhang , Yang Liu , Yu Luo , Cihang Jin , Jin Ma
• Understanding Modality Preferences in Search Clarification
  Leila Tavakoli , Giovanni Castiglia , Federica Calò , Yashar Deldjoo , Hamed Zamani , Johanne Trippas
• Smart Multi-Modal Search: Contextual Sparse and Dense Embedding Integration in Adobe Express
  Chirag Arora , Tracy Holloway King , Jayant Kumar , Yi Lu , Sanat Sharma , Arvind Srikantan , David Uvalle , Josep Valls-Vargas , Harsha Vardhan
• Designing Interfaces for Multimodal Vector Search Applications
  Owen Pendrigh Elliott , Tom Hamer , Jesse Clark
• Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
  Zhicheng Ren , Zhiping Xiao , Yizhou Sun
• Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements
  Silvia Terragni , Cuong Hoang , Joachim Daiber , Pallavi Gudipati , Pablo N. Mendes