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08/24/2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection
Customer lifetime value (LTV) prediction is essential for mobile game pu...
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11/30/2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning
Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...
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10/20/2022
Federated Unlearning for On-Device Recommendation
The increasing data privacy concerns in recommendation systems have made...
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05/24/2022
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks
In recent years, recommender systems are crucially important for the del...
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03/24/2022
Intrinsic Bias Identification on Medical Image Datasets
Machine learning based medical image analysis highly depends on datasets...
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10/21/2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Due to the growing privacy concerns, decentralization emerges rapidly in...
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01/29/2021
Graph Embedding for Recommendation against Attribute Inference Attacks
In recent years, recommender systems play a pivotal role in helping user...
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05/20/2020
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
In recent years, recommender system has become an indispensable function...
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07/10/2019
Dunhuang Grotto Painting Dataset and Benchmark
This document introduces the background and the usage of the Dunhuang Gr...
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07/10/2019
Dunhuang Grottoes Painting Dataset and Benchmark
This document introduces the background and the usage of the Dunhuang Gr...
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12/20/2016