24 citations · 39 across the 3 of their papers we have counts for
3 papers
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.CL2023★ 24 cited
The unreasonable effectiveness of few-shot learning for machine translation
Xavier Garcia, Yamini Bansal, Colin Cherry +5
We demonstrate the potential of few-shot translation systems, trained with unpaired language data, for both high and low-resource language pairs. We show that with only 5 examples…
cs.IR2021★ 2 cited
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Chi-Man Wong, Fan Feng, Wen Zhang +7
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to recommend items to users via multiple conversational interactions. Click-through rate (CTR) prediction mode…