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Siamese neural networks in recommendation
Recommender systems are widely adopted as an increasing research and development
area, since they provide users with diverse and useful information tailored to their needs …
area, since they provide users with diverse and useful information tailored to their needs …
Resisting tul attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
Nowadays, large-scale individual trajectories can be collected by various location-based
social network services, which enables us to better understand human mobility patterns …
social network services, which enables us to better understand human mobility patterns …
Trajectory-user linking via hierarchical spatio-temporal attention networks
Trajectory-User Linking (TUL) is crucial for human mobility modeling by linking different
trajectories to users with the exploration of complex mobility patterns. Existing works mainly …
trajectories to users with the exploration of complex mobility patterns. Existing works mainly …
Trajectory-user linking is easier than you think
Trajectory-User Linking (TUL) is a relatively new mobility classification task in which
anonymous trajectories are linked to the users who generated them. With applications …
anonymous trajectories are linked to the users who generated them. With applications …
: Adversarial Driving Style Representation Learning With Data Augmentation
Characterizing human driver's driving behaviors from global positioning system (GPS)
trajectories is an important yet challenging trajectory mining task. Previous works heavily …
trajectories is an important yet challenging trajectory mining task. Previous works heavily …
Leveraging Transformer Architecture for Effective Trajectory-User Linking (TUL) Attack and Its Mitigation
Trajectories, a specific type of mobility data, can be used for many useful data mining tasks.
However, these trajectories also raises important privacy concerns due to their strong …
However, these trajectories also raises important privacy concerns due to their strong …
Trajectory-User Linking using Higher-order Mobility Flow Representations
Trajectory user linking (TUL) is a problem in trajectory classification that links anonymous
trajectories to the users who generated them. TUL has various uses such as identity …
trajectories to the users who generated them. TUL has various uses such as identity …
Multi-task adversarial learning for semi-supervised trajectory-user linking
Abstract Trajectory-User Linking (TUL), which aims to link the trajectories to the users who
have generated them, is critically important to many real applications. Existing approaches …
have generated them, is critically important to many real applications. Existing approaches …
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Data-driven decision making is becoming an integral part of manufacturing companies. Data
is collected and commonly used to improve efficiency and produce high quality items for the …
is collected and commonly used to improve efficiency and produce high quality items for the …
A trajectory-based user movement pattern similarity measure for user identification
Y Zhang, Y Li, W Ji - IEEE Transactions on Network Science …, 2023 - ieeexplore.ieee.org
Recently, matching the cross-site user accounts based on user trajectory similarity has been
attracting much attention, which benefits many applications. Most of existing works measure …
attracting much attention, which benefits many applications. Most of existing works measure …