xiaoxuehuazzz's repositories
attentional_factorization_machine
TensorFlow Implementation of Attentional Factorization Machine
azkaban
Azkaban workflow manager.
CTR_Algorithm
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）
CTR_NN
基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）
Fast_ffmFormat
A tool for quickly generating libffm format
FM-FFM
FM and FFM implement with tensorflow by Python
July_Data-mining
七月在线数据挖掘算法
KDDCUP-2020
6th Solution for 2020-KDDCUP Debiasing Challenge
linuxstart
linuxstartexp
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
pandas-tutorial
pandas tutorial for julyedu
Personal-Recommendation-Action-
一些经典的个性化推荐算法的实现，从理论推导到实战
personal_recommendation
个性化推荐代码--初学者
personal_recommendation-master
The personalized recommendation system is an intelligent platform based on massive data mining. It can simulate store sales personnel to provide product information and suggestions to customers, and provide fully personalized decision support and information services for customers' shopping. Its goal is to Satisfying the needs of users, meeting the needs that users are not aware of, or realizing, but not expressing the needs, allowing users to go beyond the individual's vision and avoid seeing the trees without seeing the forest. A good recommendation system can greatly increase user loyalty and bring huge benefits to e-commerce. Personalized recommendation is to recommend information and products of interest to users according to their interests and purchasing behavior. As the scale of e-commerce continues to expand, the number and variety of products grow rapidly, and customers need to spend a lot of time to find the products they want to buy. This kind of browsing of a large amount of unrelated information and product processes will undoubtedly cause consumers who are drowning in information overload problems to continue to lose. In order to solve these problems, a personalized recommendation system came into being. The recommendation system is a branch of data mining. It is a special data mining system, which is mainly reflected in the real-time and interactivity of the recommendation system. The system recommends information that meets the interests of the user according to the user's interests, also known as the personalized recommendation system. It not only based on the user's past history, but also needs to react in real time with the behavior of the current period of time, and correct and optimize the recommendation result according to the feedback result of interaction with the user.
PersonalRecommendationAlgorithm
Personal Recommendation Algorithm In Action
Recommender-Systems-Samples
Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.
SparrowRecSys
A Deep Learning Recommender System
Tencent2020_Rank1st
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
winutils
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows
xDeepFM-1
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems