activity
20202026
most citedLocal Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

14 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Customizable and Jointly Optimized Route Planning: A Deep Architecture Enabling Differentiable Shortest-Path Search

Rui Zhao, Chao Chen, Longfei Xu +4

With the widespread use of online navigation and ride-hailing services, achieving optimal route planning for diverse user preferences has recently attracted increasing attention. C…

cs.IR2023★ 13 cited

U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation

Yuanxing Liu, Weinan Zhang, Baohua Dong +8

Conversational recommender systems (CRSs) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the exist…

cs.IR2021

A General Framework for Debiasing in CTR Prediction

Wenjie Chu, Shen Li, Chao Chen +3

Most of the existing methods for debaising in click-through rate (CTR) prediction depend on an oversimplified assumption, i.e., the click probability is the product of observation…

cs.AI2021★ 2 cited

R4: A Framework for Route Representation and Route Recommendation

Ran Cheng, Chao Chen, Longfei Xu +5

Route recommendation is significant in navigation service. Two major challenges for route recommendation are route representation and user representation. Different from items that…

cs.CL2020★ 14 cited

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

Zhigang Dai, Jinhua Fu, Qile Zhu +3

Dialogue act recognition is a fundamental task for an intelligent dialogue system. Previous work models the whole dialog to predict dialog acts, which may bring the noise from unre…