1 INTRODUCTION

1.1 Outline

1.2 Key Contributions and Distinguishing from Related Works

2 BACKGROUND AND FUNDAMENTALS

2.1 Industrial Recsys in a Nutshell

2.2 Major Deficiencies of Existing Systems

2.3 Building GAI Foundation and LLMOps

2.4 Classification Framework of GAI in Recsys

3 GAI-ENHANCED DATA, FEATURE, AND MODELING FOR RECSYS

3.1 Research Progress

3.2 Solution Framework and Practical Considerations

4 AUGMENTING THE CURATION CAPABILITY OF RECSYS

4.1 Research Progress

4.2 Solutions Framework and Practical Considerations

5 FACILITATING ACTION AND REASONING FOR INTERACTIVE RECSYS

5.1 Research Progress

5.2 Solution Framework and Practical Considerations

6 RESPONSIBLE GAI AND HUMAN-AI ALIGNMENT

6.1 Trust and Responsible AI

6.2 GAI Response Risk Assessment

6.3 Human-AI Alignment for GAI in Recsys

7 OPEN PROBLEMS

8 CONCLUSION