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

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2024

Differentially Private Approval-Based Committee Voting

Zhechen Li, Zimai Guo, Lirong Xia +2

In this paper, we investigate tradeoffs among differential privacy (DP) and several representative axioms for approval-based committee voting, including justified representation, p…

cs.IR2023

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Hangyu Wang, Ting Long, Liang Yin +6

Computerized Adaptive Testing(CAT) refers to an online system that adaptively selects the best-suited question for students with various abilities based on their historical respons…

cs.IR2023★ 1 cited

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

Hangyu Wang, Jianghao Lin, Xiangyang Li +5

Click-through rate (CTR) prediction plays as a core function module in various personalized online services. The traditional ID-based models for CTR prediction take as inputs the o…

cs.IR2023

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

Jianghao Lin, Bo Chen, Hangyu Wang +7

Click-through rate (CTR) prediction has become increasingly indispensable for various Internet applications. Traditional CTR models convert the multi-field categorical data into ID…

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…