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03/17/2023
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Deep learning-based recommender systems have achieved remarkable success...
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07/24/2022
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Behavior prediction based on historical behavioral data have practical r...
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06/09/2022
Deep Meta-learning in Recommendation Systems: A Survey
Deep neural network based recommendation systems have achieved great suc...
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08/07/2021
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Traditional recommendation systems are faced with two long-standing obst...
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03/25/2021
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
Prediction tasks about students have practical significance for both stu...
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06/27/2020
Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
The aim of session-based recommendation is to predict the users' next cl...
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09/25/2019
ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities
In recent years, dock-less shared bikes have been widely spread across m...
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05/11/2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Cooperation is critical in multi-agent reinforcement learning (MARL). In...
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05/06/2019
A multimodal lossless coding method for skeletons in videos
Nowadays, skeleton information in videos plays an important role in huma...
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12/12/2018
STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics
Various general-purpose distributed systems have been proposed to cope w...
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11/20/2018
Explaining Latent Factor Models for Recommendation with Influence Functions
Latent factor models (LFMs) such as matrix factorization achieve the sta...
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11/01/2018