RecSys or RAG for master thesis topic?
Hey!
I have a very good professor, and I can choose between two possible directions with him for my Master’s thesis topic.
One option is LLM-Based Data Augmentation for Recommender Systems, and the other is Relevance-Aware Retrieval Augmentation for Open-Domain Question Answering.
He is mainly experienced in NLP and LLMs, but he also teaches Recommender Systems. Both topics are interesting to me, so my main question is: which direction would be more worth pursuing in your opinion? Should I focus more on Recommender Systems, or on RAG?