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Title: GitHub - Maggione/DeepRec: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

Open Graph Title: GitHub - Maggione/DeepRec: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

X Title: GitHub - Maggione/DeepRec: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

Description: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models. - GitHub - Maggione/DeepRec: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

Open Graph Description: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models. - GitHub - Maggione/DeepRec: Deeprec is a portable, fle...

X Description: Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models. - GitHub - Maggione/DeepRec: Deeprec is a portable, fle...

Opengraph URL: https://github.com/Maggione/DeepRec

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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systemshttps://arxiv.org/abs/1803.05170
DKN: Deep Knowledge-Aware Network for News Recommendationhttps://arxiv.org/pdf/1801.08284v1.pdf
A Factorization-Machine based Neural Network for CTR Predictionhttps://arxiv.org/abs/1703.04247
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Predictionhttps://arxiv.org/abs/1601.02376
Product-based Neural Networks for User Response Predictionhttps://arxiv.org/abs/1611.00144
Wide & Deep Learning for Recommender Systemshttps://arxiv.org/abs/1606.07792
A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systemshttp://dl.acm.org/citation.cfm?id=3054207
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