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Hongzhi Yin
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Cluster query: a new query pattern on temporal knowledge graph
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud
Big Data Recommender Systems: Chapter 9. Spatiotemporal recommendation with big geo-social networking data
Multi-hop path queries over knowledge graphs with neural memory networks
Online User Representation Learning Across Heterogeneous Social Networks
Effective and Efficient User Account Linkage Across Location Based Social Networks
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system
PME: projected metric embedding on heterogeneous networks for link prediction
Restricted Boltzmann machine based active learning for sparse recommendation
Streaming ranking based recommender systems
Tpm: A temporal personalized model for spatial item recommendation
Exploiting spatio-temporal user behaviors for user linkage
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation
Spatial-aware hierarchical collaborative deep learning for POI recommendation
ST-SAGE: A spatial-temporal sparse additive generative model for spatial item recommendation
Joint modeling of user check-in behaviors for real-time point-of-interest recommendation
SPORE: A Sequential Personalized Spatial Item Recommender System
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation
Joint modeling of users' interests and mobility patterns for point-of-interest recommendation
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