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07/27/2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
A combinatorial recommender (CR) system feeds a list of items to a user ...
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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
Dynamic Parameterized Network for CTR Prediction
Learning to capture feature relations effectively and efficiently is ess...
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05/28/2021