zhaochenyang Goto Github PK

blog

blog_source

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

course-table-genertor

course table genertor

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

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

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。

ple-cgc-mtl-video-recommendation

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.

web_images

wide_deep

Wide and Deep Learning for CTR Prediction in tensorflow

zhaochenyang.github.io