Caichang66's Stars
MrQuJL/product-recommendation-system
:sunrise: 基于用户的协同过滤算法实现的商品推荐系统 https://github.com/MrQuJL/product-recommendation-system
Thinkgamer/bookRecommend
图书推荐系统,基于商品的协同过滤算法实现
ZainZhao/Personalized-recommend
基于tensorflow的个性化电影推荐系统实战(有前端)
LJSthu/Movie-Analysis
使用机器学习算法的电影推荐系统以及票房预测系统
letiantian/kmedoids
[Unmaintained] The Python implementation of k-medoids.
Colaplusice/book_recommend
基于协同过滤的书籍推荐系统
JayWang2959/DZDP_Spider
大众点评 餐饮类数据的爬虫
subved/MusicCFsystem
用itemCF和userCF算法实现的音乐推荐系统
lv2020/EBM
LBSN based on foursquare dataset
rakeshvar/kmedoids
K-medoids unsupervised clustering. Implemented in Python and Numpy. Vectorized to work for huge datasets.
shenxudeu/K_Medoids
Numpy Implementation of K Medoids
slper001/DaZhongComments
获取大众点评网的店铺评论信息,包括店铺的概要信息(位置、经纬度、评分等)和用户详细评论数据。
Sieboldianus/lbsntransform
A python package that uses the common location based social network (LBSN) data structure concept (ProtoBuf) to import, transform and export Social Media data such as Twitter and Flickr. (mirror repository)
finesure2017/UserCF-and-FM-Based-RecSys
实现了一个汽车资讯推荐系统,使用UserCF与FM模型
rainbow494/LunchRecomender
基于大众点评数据和当前位置,推荐合适用户的餐馆,发送推荐邮件
Jeaung/kmedoids
Different implementations of k medoids algorithm
TissueC/Cluster-for-Non-euclidean-distance
K-medoids and DBSCAN to cluster from a distance matrix
xixihahag/SVD
基于奇异值分解(SVD)的推荐系统
hukaixuan/around
基于地理位置的社交系统
Vikibeta/tantanapp
探探是一个基于大数据智能推荐,给你推送身边与你匹配的人,帮助你结识互有好感的新朋友的社交APP向右滑喜欢,向左滑无感,翻动探探推送的照片,寻找与你最近的缘分...
xingyuan1998/ZouZou
基于位置信息的社交Api
mithilgotarne/machine-learning
Python implementation of machine learning algorithms
Nick-Caris/K-compare
Comparing k-means, k-medoids and h-k-means.
nishchaytrivedi123/KMedoid
Simple implementation of K-medoid from scratch.
prateekgupta89/Clustering-using-knn-lsh-kmeans