个性化推荐>> recommendation-system>> 返回
项目作者： ankkod

项目描述 ：
python surprise svd
高级语言： Jupyter Notebook
项目地址: git://github.com/ankkod/recommendation-system.git
创建时间： 2021-02-02T14:11:47Z
项目社区：https://github.com/ankkod/recommendation-system
开源协议：
下载


Recommendation System

Source​- ​​Amazon Reviews data (http://jmcauley.ucsd.edu/data/amazon/) Therepository has several datasets. For this case study, we are using the Electronics dataset.

Domain ​- ​E-commerce

Context​- ​Everyday a million products are being recommended to users based onpopularity and other metrics on e-commerce websites. The most popular e-commercewebsite boosts average order value by 50%, increases revenues by 300%, andimproves conversion. In addition to being a powerful tool for increasing revenues,product recommendations are so essential that customers now expect to see similarfeatures on all other eCommerce sites.

Objective​- ​To make a recommendation system that recommends at least five(5)new products based on the user’s habits

Python library used: https://surprise.readthedocs.io/en/stable/