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06/28/2023
Confidence Ranking for CTR Prediction
Model evolution and constant availability of data are two common phenome...
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06/26/2023
Mutual Query Network for Multi-Modal Product Image Segmentation
Product image segmentation is vital in e-commerce. Most existing methods...
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06/15/2023
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Poster layout is a crucial aspect of poster design. Prior methods primar...
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04/17/2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction
Click-through rate (CTR) prediction is of great importance in recommenda...
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12/05/2022
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection
Recently, segmentation-based methods are quite popular in scene text det...
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06/26/2022
A Pre-Computing Solution for Online Advertising Serving
Click-Through Rate (CTR) prediction plays a key role in online advertisi...
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05/11/2022
NDGGNET-A Node Independent Gate based Graph Neural Networks
Graph Neural Networks (GNNs) is an architecture for structural data, and...
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04/29/2022
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction
The exposure sequence is being actively studied for user interest modeli...
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04/08/2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Recently, Graph Convolutional Network (GCN) has become a novel state-of-...
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04/01/2022
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction
Click-through rate (CTR) Prediction is of great importance in real-world...
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04/01/2022
Concept Drift Adaptation for CTR Prediction in Online Advertising Systems
Click-through rate (CTR) prediction is a crucial task in web search, rec...
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01/17/2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
We propose a general Variational Embedding Learning Framework (VELF) for...
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11/09/2021