Joint Gaussian Distribution and Attention for Time-Aware Recommendation Systems
Author:
Affiliation:
1. School of Information, Renmin University of China, Beijing, China
2. School of Information Science and Engineering, Lanzhou University, Lanzhou, China
Funder
Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/6570650/10414252/10268917.pdf?arnumber=10268917
Reference34 articles.
1. Personalized Recommendation via Multi-dimensional Meta-paths Temporal Graph Probabilistic Spreading
2. Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
3. RecMem: Time Aware Recommender Systems Based on Memetic Evolutionary Clustering Algorithm
4. Gaussian process factorization machines for context-aware recommendations
5. Deep state space models for time series forecasting;Rangapuram
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