Yuhao Wu

BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation

2024 · arXiv (Cornell University)

In real recommendation scenarios, users often have different types of behaviors, such as clicking and buying. Existing research methods show that it is possible to capture the heterogeneous interests of users through different types of …

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

2024 · arXiv (Cornell University)

Verbatim feedback constitutes a valuable repository of user experiences, opinions, and requirements essential for software development. Effectively and efficiently extracting valuable insights from such data poses a challenging task. This paper introduces Allhands , an …