搜索资源列表
movie_recommender_src
- This is a k-mode clustering based movie recommender, due to heavy system requirements it runs only in linux.
recommender
- 一个自己写的图书自动化推荐的功能，根据读者的聚类向不同的用户推荐适合自己的图书。界面比较简单，只实现了核心的算法。-Write your own book recommended automation functions, according to the clustering of readers recommend to different users for their own books. Interface is relatively simple, only implements t
BCS_upload
- This is a demo code to illustrate application of blind compressive sensing framework to recommender system design (to predict users choice for items).
test.tar
- 用于推荐系统的svd算法，以movielens 1m数据集为例，并有调参数方法-an implemention of svd algorithm for recommender
recommender-
- Collaborative Filtering，基于Collaborative Filtering，建立主动为用户推荐商品的推荐系统。实现参考协同过滤算法或它的优化，实现并改进算法，计算出每个客户对未购买的商品的兴趣度，并向客户主动推荐他最感兴趣的N个商品。实验数据可以从MovieLens.com下载。要求使用至少10，000不同用户的数据，至少1000个不同的movie。-Collaborative Filtering，Based Collaborative Filtering, the in
Recommender
- 基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
project
- 数据挖掘，推荐系统，堆叠降噪自编码器，逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
recommender-master
- 基于多种算法的推荐系统python实现，其中包括了SVD、聚类分析等多种热门算法，并且有很强的可扩展性(A recommender system based on several kinds of algorithms, written in python)
Wide & Deep Learning for Recommender Systems
- Wide & Deep Learning for Recommender Systems
recommender
- 利用scala实现的推荐系统，其中用到了hive、kafka、scala等(A recommendation system implemented using Scala, which uses hive, Kafka, Scala and so on)