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06/17/2022
Boosting Factorization Machines via Saliency-Guided Mixup
Factorization machines (FMs) are widely used in recommender systems due ...
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12/04/2020
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Reinforcement learning (RL) has shown great promise in optimizing long-t...
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10/02/2020
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
We study the problem of balancing effectiveness and efficiency in automa...
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08/27/2020
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
In this paper, we study the problem of balancing effectiveness and effic...
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08/21/2020
Explainable Recommender Systems via Resolving Learning Representations
Recommender systems play a fundamental role in web applications in filte...
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01/27/2020
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
With the explosive growth of online products and content, recommendation...
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01/15/2020
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Social recommendation has emerged to leverage social connections among u...
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06/05/2019
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks
The efficiency of top-K item recommendation based on implicit feedback a...
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01/14/2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
As mobile devices become more and more popular, mobile gaming has emerge...
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08/20/2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Mobile gaming has emerged as a promising market with billion-dollar reve...
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06/03/2018
Explainable Social Contextual Image Recommendation with Hierarchical Attention
Image based social networks are among the most popular social networking...
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12/22/2016