2 papers
cs.IR2021
CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation
Seongwon Jang, Hoyeop Lee, Hyunsouk Cho +1
Sequential recommendation techniques provide users with product recommendations fitting their current preferences by handling dynamic user preferences over time. Previous studies h…
cs.IR2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee, Jinbae Im, Seongwon Jang +2
This paper proposes a recommender system to alleviate the cold-start problem that can estimate user preferences based on only a small number of items. To identify a user's preferen…