Ting Bai

Learning Social Graph for Inactive User Recommendation

2024 · arXiv (Cornell University)

Social relations have been widely incorporated into recommender systems to alleviate data sparsity problem. However, raw social relations don't always benefit recommendation due to their inferior quality and insufficient quantity, especially for inactive users, whose …

A Neural Collaborative Filtering Model with Interaction-based Neighborhood

2017

Recently, deep neural networks have been widely applied to recommender systems. A representative work is to utilize deep learning for modeling complex user-item interactions. However, similar to traditional latent factor models by factorizing user-item interactions, …