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06/23/2023
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
A large-scale industrial recommendation platform typically consists of m...
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06/01/2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
As a key component in online marketing, uplift modeling aims to accurate...
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02/04/2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives
Representation learning has been a critical topic in machine learning. I...
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01/26/2023
Optimizing Feature Set for Click-Through Rate Prediction
Click-through prediction (CTR) models transform features into latent vec...
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12/29/2022
A Survey of Diversification Techniques in Search and Recommendation
Diversifying search results is an important research topic in retrieval ...
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08/09/2022
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Learning embedding table plays a fundamental role in Click-through rate(...
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03/20/2022
Learnable Encoder-Decoder Architecture for Dynamic Graph: A Survey
In recent years, the prevalent online services generate a sheer volume o...
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05/18/2020
