Textual Content-Based Recommendation

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Table of contents

1 introduction 
1.1 Context
1.2 Motivations
1.3 Ethics and AI
1.4 Contributions and outline
2 related work 
2.1 User Representation in Recommendation
2.2 NLP and Leveraging User-Generated text for User Representation
2.3 Generative Models
2.4 Recommendation, NLP and Generative Models for User Representation
3 refining user understanding in recommendation via nlp 
3.1 The model
3.2 Experiments and Results
3.3 Conclusion
4 a nlp approach to professional profile learning and evaluation 
4.1 Models
4.2 Experiments
4.3 Results
4.4 Conclusion
5 user dynamic modeling 
5.1 Job Expertise Rewriting
5.2 Industry Latent Space Structuring via VAE
5.3 Challenges & Obstacles
5.4 Conclusion
6 conclusion 
6.1 Summary of Contributions
6.2 Perspectives for future work
bibliography