zhaochenyang's repositories
ComiRec
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
course-table-genertor
course table genertor
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
dssm
DSSM and Multi-View DSSM
EasyRec
A framework for large scale recommendation algorithms.
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
deep_learning_estimator
深度学习在推荐算法的ctr预估等场景中的应用，该项目使用tensorflow estimator进行封装，包括dnn、deepfm、din、autoint等模型
deep_learning_estimator_labels
深度学习，针对多目标任务，在推荐算法的ctr预估等场景中的应用，项目使用tensorflow estimator进行封装，包括esmm、mmoe模型
Markdown
Markdown 基本语法。
models
rec models
movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Spark-Retrieval
Advanced retrieval algorithms based on Spark for distributed training.
text2vec
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
tf-estimator-basics
Train, predict, export and reload a tf.estimator for inference
two_tower_recommendation_system
A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.
wide_deep
Wide and Deep Learning for CTR Prediction in tensorflow