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