Haoran Tang

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation

2019 · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering

Point-of-interest (POI) recommendation that consists of location-based social networks (LBSNs) and provides personal services for users has become an important part in the field of recommendation system. Due to the sparseness of user check-in matrix, …

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation

2022 · arXiv (Cornell University)

Unsupervised Domain Adaptation (UDA), a branch of transfer learning where labels for target samples are unavailable, has been widely researched and developed in recent years with the help of adversarially trained models. Although existing UDA …