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CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Tensorflow implementation of DeepFM for CTR prediction.
Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
pyspark🍒🥭 is delicious，just eat it!😋😋
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
The guide to tackle with the Text Summarization
⏰ AI conference deadline countdowns
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
TensorFlow implementation of "Pointer Networks"
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation