Required prerequisites
Motivation
Extend recommendation system to process and recommend content containing both text and images.
Solution
- Use multi-modal embedding models (e.g., CLIP) to encode both textual and visual content into a shared feature space.
- Adjust recommendation algorithms to consider both modalities when ranking posts.
- Update recsys.py to load and utilize multi-modal models where applicable.
Alternatives
No response
Additional context
No response