Wide and Deep Learning for Recommender Systems

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Presented by

Junbin Pan

Introduction

This paper presents a jointly trained wide linear models and deep neural networks architecture - Wide & Deep Learning. This newly designed architecture can achieve both memorization and generalization for recommender systems


Related Work

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Model Architecture

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Model Results

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Conclusion

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Critiques

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References

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