1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Discrete Conditional Diffusion for Reranking in Recommendation
Xiao Lin, Xiaokai Chen, Chenyang Wang +4
Reranking plays a crucial role in modern multi-stage recommender systems by rearranging the initial ranking list to model interplay between items. Considering the inherent challeng…
cs.IR2023
A Self-Correcting Sequential Recommender
Yujie Lin, Chenyang Wang, Zhumin Chen +6
Sequential recommendations aim to capture users' preferences from their historical interactions so as to predict the next item that they will interact with. Sequential recommendati…
cs.IR2023
Modeling Sequential Recommendation as Missing Information Imputation
Yujie Lin, Zhumin Chen, Zhaochun Ren +5
Side information is being used extensively to improve the effectiveness of sequential recommendation models. It is said to help capture the transition patterns among items. Most pr…