hybrid-recommender-system
There are 78 repositories under hybrid-recommender-system topic.
MaurizioFD/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.
dorukkilitcioglu/books2rec
A recommender system built for book lovers.
jalajthanaki/Movie_recommendation_engine
This repository contains the code for building movie recommendation engine.
SebastianRokholt/Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
prakruti-joshi/Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
sukeshsangam/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 supervisor
YuzhouPeng/Linedin-User-profile-Hybrid-Recommendation
Hybrid recommedation for talents
faizanahemad/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
vjvishaljha/Recommender_Sys
A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
Divyanshu169/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.
SamueleMeta/recommender-systems
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
BeautifulBeer/Youflix
Movie recommendation system based on hybrid recommender and clustering
MaurizioFD/CFeCBF
This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
mesudepolat/Hybrid-Recommender-System
Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
amanjeetsahu/Recommender-Systems-Using-Python
This repo contains my practice and template code for all kinds of recommender systems using SupriseLib. More complex and hybrid Recommender Systems can build on top of these template codes.
dzvlfi/Recommendation-System-Algorithms
Recommendation System Algorithm
Gaurav-Pande/Recommendation_systems
Auto encoders based recommendation system
lpraat/RecSys
Set of recommender systems
lucashu1/CDN-RecSys
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
shr1611/Recommendation_Systems_study
Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
Heisenberg0203/Recommendation_System
Hybrid Recommendation System for IMDB data set In Python from Scratch (can be scaled to any applications)
Lodz97/RecSys-PoliMi-2020
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.
pncnmnp/Movie-Recommendation
Recommends movies using Collaborative and Content based filtering techniques
Pratik94229/Book-Recommendation-System
This repository contains the code for a book recommendation system that uses natural language processing techniques to recommend books to users based on their preferences.
swapUniba/Deep_CBRS_Amar_Renaissance
Amar deep architectures for hybrid recommenders with GNNs
AjNavneet/Hybrid-Recommender-LightFM-Retail
Hybrid recommendation system using LightFM library and different loss functions on retail data.
amolratnaparkhe/Foodfinder-Recommendation-System
Food Finder: An interface for a multi-user recommendation system.
merrillm1/Olist_Recommender_System
Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.
MultiBeerBandits/recsys_challenge_2017
Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.
RuochenT/transformer_hybrid
This study aims to investigate the effectiveness of three Transformers (BERT, RoBERTa, XLNet) in handling data sparsity and cold start problems in the recommender system. We present a Transformer-based hybrid recommender system that predicts missing ratings and ex- tracts semantic embeddings from user reviews to mitigate the issues.
StivenMetaj/Recommender_Systems_Challenge_2020
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
Youssef0Eldeeb/Recommendation-Systems
Building powerful and personalized, recommendation engines with Python
Cassteow/WatchList_Letterboxd
A hybrid group recommendation system for film and TV content using Letterboxd profile data
KayvanShah1/usc-dsci553-data-mining-sp24
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Praveen76/Recommendation-System-Interview-Prep-Guide
Explore the Recommendation System Interview Prep Guide! This GitHub repository provides curated interview questions and answers for Data Scientists. Elevate your knowledge of recommendation systems, navigate technical interviews with confidence, and succeed in the dynamic field of data science focused on recommendation system applications.
tuansunday05/ArticleRecommenderSystem
Using hybrid recommender system with apriori algorithm, content-based and collaborative filtering method for predicting users interactions and then recommend them for users.