Youngjoo Chung

Learning Similarity Preserving Binary Codes for Recommender Systems

2022 · arXiv (Cornell University)

Hashing-based Recommender Systems (RSs) are widely studied to provide scalable services. The existing methods for the systems combine three modules to achieve efficiency: feature extraction, interaction modeling, and binarization. In this paper, we study an …