Knowledge-aware Recommender Systems
August 02, 2024
October 17, 2024
- How to exploit and adapt LLMs for recommendation tasks (fine-tuning, knowledge injection, direct prompting, etc.)
- How to exploit and adapt LMMs for recommendation tasks (input=text? image? output=text and image? only image? AI-generated image or video? many possible strategies)
- How to exploit the information encoded in KGs for recommendation? (architectures, encoding, information represented in the graph, pre-training vs. direct learning, etc.)
Goal
Extend and improve the current deep architectures based on large language models and knowledge graphs. Moreover, novel LMMs (large multimodal models) can be considered as well.
Execution of new experiments on the current architecture as well as new architectures based on such techniques are also welcome.