A R T I C L E I N F O  
A B S T R A C T  
1. Introduction  
2. Question-based User Preference Elicitation  
2.1. Asking about Items  
2.2. Asking about Attributes  
2.3. Section Summary  
3. Multi-turn Conversational Strategies for CRSs  
3.1. Conversation Strategies for Determining When to Ask and Recommend  
3.2. Conversation Strategies from A Broader Perspective  
3.3. Section Summary  
4. Dialogue Understanding and Generation in CRSs  
4.1. Dialogue Understanding  
4.2. Response Generation  
4.3. Section Summary  
5. Exploration-Exploitation Trade-offs  
5.1. Multi-Armed Bandits In Recommendation  
5.2. Multi-Armed Bandits in CRSs  
5.3. Meta Learning for CRSs  
5.4. Section Summary  
6. Evaluation and User Simulation  
6.1. Datasets and Tools  
6.2. Turn-level Evaluation  
6.3. Conversation-level Evaluation  
6.4. Section Summary  
7. Conclusion