hybrid-recommender-system topic
RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
books2rec
A recommender system built for book lovers.
Movie_recommendation_engine
This repository contains the code for building movie recommendation engine.
Linedin-User-profile-Hybrid-Recommendation
Hybrid recommedation for talents
Recommender_Sys
A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
Deep-Learning-Model-for-Hybrid-Recommendation-Engine
A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervi...
Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
Hybrid-Weighted-Embedding-Recommender
A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embeddings enables solving cold start with fast training and serving
IT556_Worthless_without_coffee_DA-IICT_Final_Project
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.