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12/30/2021
Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates
Most algorithms for the multi-armed bandit problem in reinforcement lear...
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08/11/2021
Retrieval Interaction Machine for Tabular Data Prediction
Prediction over tabular data is an essential task in many data science a...
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06/09/2021
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction
Recommender systems are often asked to serve multiple recommendation sce...
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06/01/2021
Dual Graph enhanced Embedding Neural Network for CTR Prediction
CTR prediction, which aims to estimate the probability that a user will ...
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09/04/2020
A Practical Incremental Method to Train Deep CTR Models
Deep learning models in recommender systems are usually trained in the b...
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04/14/2020
Personalized Re-ranking for Improving Diversity in Live Recommender Systems
Users of industrial recommender systems are normally suggesteda list of ...
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07/05/2019