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Models and examples built with TensorFlow
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TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
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Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
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1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
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