3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou, Daochen Zha, Xiao Shen +3
Time series self-supervised learning (SSL) aims to exploit unlabeled data for pre-training to mitigate the reliance on labels. Despite the great success in recent years, there is l…
cs.IR2023
Timestamps as Prompts for Geography-Aware Location Recommendation
Yan Luo, Haoyi Duan, Ye Liu +1
Location recommendation plays a vital role in improving users' travel experience. The timestamp of the POI to be predicted is of great significance, since a user will go to differe…
cs.IR2023★ 3 cited
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Yan Luo, Ye Liu, Fu-lai Chung +2
Predicting the next location is a highly valuable and common need in many location-based services such as destination prediction and route planning. The goal of next location recom…