8 citations · 22 across the 7 of their papers we have counts for
7 papers
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Weixun Wang, XiaoXiao Xu, Wanhe An +86
Agentic crafting requires LLMs to operate in real-world environments over multiple turns by taking actions, observing outcomes, and iteratively refining artifacts. Despite its impo…
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
Qifang Zhao, Tianyu Li, Meng Du +5
When doing private domain marketing with cloud services, the merchants usually have to purchase different machine learning models for the multiple marketing purposes, leading to a…
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
Yizhou Dang, Enneng Yang, Guibing Guo +5
Sequential recommendation is an important task to predict the next-item to access based on a sequence of interacted items. Most existing works learn user preference as the transiti…
Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
Bei Yang, Jie Gu, Ke Liu +4
User Modeling plays an essential role in industry. In this field, task-agnostic approaches, which generate general-purpose representation applicable to diverse downstream user cogn…
Interest-oriented Universal User Representation via Contrastive Learning
Qinghui Sun, Jie Gu, Bei Yang +5
User representation is essential for providing high-quality commercial services in industry. Universal user representation has received many interests recently, with which we can b…
Exploiting Behavioral Consistence for Universal User Representation
Jie Gu, Feng Wang, Qinghui Sun +4
User modeling is critical for developing personalized services in industry. A common way for user modeling is to learn user representations that can be distinguished by their inter…
T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction
Jianming Lv, Qing Li, Xintong Wang
Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional prediction approaches, whic…