ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning

no code implementations • 25 Jul 2023 • Mohammmadmahdi Maheri, Reza Abdollahzadeh, Bardia Mohammadi, Mina Rafiei, Jafar Habibi, Hamid R. Rabiee

In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately determining user preferences.

Clustering Meta-Learning +1