Recommendation System

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
Cross-domain recommendation (CDR) aims to alleviate the data sparsity by transferring knowledge from an informative source domain to …
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng
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Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
Recommender System of China Beijing International Fair for Trade in Services
Intelligent recommendation through AI algorithm combined with multi-dimensional information collection, 360-degree restoration depicts each exhibition participant, and taps more potential business opportunities.
Recommender System of China Beijing International Fair for Trade in Services
Spatio-Temporal Intelligent Recommendation Engine
Based on urban multi-source big data and recommendation ranking technology, we built the first spatiotemporal intelligent recommendation engine in the field of smart cities to achieve real-time, diversified and accurate recommendations for thousands of people, thereby improving user experience and enhancing user stickiness.
Spatio-Temporal Intelligent Recommendation Engine
Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
Utilizing the demographic information of social media users is very essential for personalized online services. However, it is …
Yantong Lai, Yijun Su, Cong Xue, Daren Zha
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Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences
Point-of-interest (POI) recommendation has become an important service to help users discover attractive locations. A variety of …
Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang
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User Alignment with Jumping Seed Alignment Information Propagation
User Alignment is to find users belonging to a same real person on different social networks and has become a fundamental task for many …
Xiang Li, Yijun Su, Neng Gao., Ji Xiang, Yuewu Wang
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FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation
With the popularity of location-based social networks (LBSNs), Point-of-Interest (POI) recommendation has become an essential …
Yijun Su, Xiang Li, Baoping Liu, Daren Zha, Ji Xiang, Wei Tang, Neng Gao.
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Aligning Users Across Social Networks by Joint User and Label Consistence Representation
Aligning users belonging to the same person in different social networks has attracted much attention. Recently, embedding methods have …
Xiang Li, Yijun Su, Neng Gao., Wei Tang, Ji Xiang, Yuewu Wang
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Anchor User Oriented Accordant Embedding for User Identity Linkage
User Identity Linkage is to find users belonging to the same real person in different social networks. Besides, anchor users refer to …
Xiang Li, Yijun Su, Neng Gao., Wei Tang, Ji Xiang, Yuewu Wang
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Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization
The increasing prevalence of location-based social networks (LBSNs) poses a wonderful opportunity to build per-sonalized …
Yijun Su, Xiang Li, Wei Tang, Daren Zha, Ji Xiang, Neng Gao.
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