There are 22 repositories under recommendation-algorithm topic.
Best Practices on Recommendation Systems
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A collection of resources for Recommender Systems (RecSys)
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
Machine Learning (EE 5184) in NTU
PHP and wrapping Redis's sorted set APIs for specializing recommending operations.
🎥 Movie Recommender AI System
商品关联关系挖掘,使用Spring Boot开发框架和Spark MLlib机器学习框架,通过FP-Growth算法,分析用户的购物车商品数据,挖掘商品之间的关联关系。项目对外提供RESTFul接口。
:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
Finding recommendations between them all. Work in progress.
Code for RecSys'19 paper: Leveraging Post-click Feedback for Content Recommendations
A book recommendations application that works on the Dash framework and implements content based filtering using TF-IDF and cosine similarity.
Board game recommendation engine
Implementations of the EigenRec algorithm
A lightweight recommendation algorithm framework based on LycorisNet.
In this Movie Dataset I have used my Basic Knowledge of Recommendation Systems. I have used the Concept of Content -Based Recommendation System to Recommend that If a User Watched a Particular Movie than Which Other Movies He/She is going to like or watch.
Research on User Profile and Resource Recommendation of Online Learning Platform Based on Collaborative Filtering Algorithm
Behavior based video recommendation, global keyboard control and ads block for Youtube
Projects for Social Gaming course in Technical University of Munich
MIT xPRO Data Science Course Movie Recommendations Case Study
Recommender system
Source code for Twitter's Recommendation Algorithm.