Haoxin Liu

Haoxin Liu

Ph.D. student in Computer Science at Georgia Tech focusing on time-series forecasting, graph learning, and large language models.

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering

Published in WWW 2023 Industry Track, 2023

Recommended citation: Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, and Dongmei Zhang. "HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering." The Web Conference 2023 Industry Track.

Haoxin Liu and co-authors develop HAPENS, a hardness-personalized negative sampling strategy that strengthens large-scale recommender systems (acceptance rate 19.8%).