2 papers
cs.IR2025
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi +1
Graph knowledge has been proven effective in enhancing item rankings in recommender systems (RecSys), particularly during the retrieval stage. However, its application in the ranki…
cs.IR2024
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
Zheyuan Zhang, Zehong Wang, Tianyi Ma +8
The prevalence of unhealthy eating habits has become an increasingly concerning issue in the United States. However, major food recommendation platforms (e.g., Yelp) continue to pr…