A5011919005- Advanced Graph Neural Networks
- Recommender Systems and Techniques
- Human Mobility and Location-Based Analysis
- Mental Health via Writing
- Multimodal Machine Learning Applications
- Sharing Economy and Platforms
- Topic Modeling
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
Shanghai Jiao Tong University
2021-2024
Next Point-of-Interest (POI) recommendation is an essential part of the flourishing location-based applications, where demands users are not only conditioned by their recent check-in behaviors but also critical influence stemming from geographical dependencies among POIs. Existing methods leverage Graph Neural Networks with aid pre-defined POI graphs to capture such indispensable correlations for modeling user preferences, assuming that appropriate POIs could be pre-determined. However,...
Graph-based social recommendation improves the prediction accuracy of by leveraging high-order neighboring information contained in relations. However, most them ignore problem that relations can be noisy for recommendation. Several studies attempt to tackle this performing graph denoising, but they suffer from 1) adaptability issues other graph-based models and 2) insufficiency user representation learning. To address limitations, we propose a model-agnostic denoising module (denoted as...
Sequential recommendation which aims to predict a user's next interaction based on his/her previous behaviors, has attracted great attention. Recent studies mainly employ deep recurrent neural networks or self-attention capture dynamic user preferences. However, existing methods merely focus modeling users' clear interests in interacted items. We argue that for an interaction, the may also have ambiguous items are semantically related one. For comprehensively capturing preferences, it is...
Nowadays, the urban vehicle sharing (UVS) service offered by online platforms such as Car2Go and Zipcar has become an attractive choice for short-term mobility demands of city residents. Such way shared also demonstrates its potential in addressing various traffic problems (e.g., congestion, exhaust gas emission). However, power UVS systems could not be fully unleashed, unless demand-supply gaps, incurred uneven spatial-temporal distributions orders available vehicles, are effectively...