Yinliang Yue

Learning Explicit User Interest Boundary for Recommendation

2022 · Proceedings of the ACM Web Conference 2022

The core objective of modelling recommender systems from implicit feedback is to maximize the positive sample score sp and minimize the negative sample score sn, which can usually be summarized into two paradigms: the pointwise …

A Generic Method for Fine-grained Category Discovery in Natural Language Texts

2024 · arXiv (Cornell University)

Fine-grained category discovery using only coarse-grained supervision is a cost-effective yet challenging task. Previous training methods focus on aligning query samples with positive samples and distancing them from negatives. They often neglect intra-category and inter-category …