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This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to include the core Python implementation of th...

dnn scala python recsys dataset pyspark youtube deepwide recommender-system deep-neural-networks click-through-rate-prediction

Created 2019-12-27

5 commits to master branch, last one 6 months ago

CTRRecommenderModels BinFuPKU

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I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. （对工业界学术界的CTR推荐调研并实现25个算法模型，2023）

machine-learning click-through-rate-prediction

Created 2023-09-01

102 commits to main branch, last one about a year ago

SATrans qwerfdsaplking

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The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Dom...

click-through-rate-prediction multi-scenario-recommendation

Created 2022-11-15

13 commits to main branch, last one about a year ago