Liang Qu

Automated Similarity Metric Generation for Recommendation

2024 · arXiv (Cornell University)

The embedding-based architecture has become the dominant approach in modern recommender systems, mapping users and items into a compact vector space. It then employs predefined similarity metrics, such as the inner product, to calculate similarity …