1 INTRODUCTION  

2 PIPELINE OF MULTIMODAL RECOMMENDATION  

3 FEATURE EXTRACTION  

4 MODEL CLASSIFICATION  

5 MODALITY FUSION  

6 MEASUREMENT AND OPTIMIZATION  

7 DATASETS AND EXPERIMENTS  

8 CHALLENGES AND FUTURE RESEARCH DIRECTIONS  

9 CONCLUSION