Big Data Intern Recommendation System @ VIPS Zhimin Feng
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Updated
Apr 17, 2019
Big Data Intern Recommendation System @ VIPS Zhimin Feng
Analysis of massive data sets
基于ItemCF与Springboot的图书商城系统
IBCF recommender system with Shiny application
a movie recommender system that can predict movies or videos that users may be interested in
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
A movie recommender system with MapReduce.
The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
基于ItemCF与Springboot的图书商城系统-前端页面
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
Recommender System 2019 Challenge PoliMi
Recommendation systems
A recommendation system for Restaurants!
Fast item-to-item recommendations on the command line.
A system that assists students in selecting their courses in a smarter way
Machine Learning Algorithms
Project on recommender systems within the data mining course in my master's program.
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