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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.

Updated May 25, 2023
Python

dorukkilitcioglu / books2rec

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A recommender system built for book lovers.

data-science machine-learning big-data recommender-systems hybrid-recommender-system

Updated May 13, 2019
Jupyter Notebook

jalajthanaki / Movie_recommendation_engine

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This repository contains the code for building movie recommendation engine.

python3 collaborative-filtering recommendation-system recommendation-engine content-based-recommendation movie-recommendation-system hybrid-recommender-system

Updated Mar 27, 2018
Jupyter Notebook

SebastianRokholt / Hybrid-Recommender-System

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A repository for a machine learning project about developing a hybrid movie recommender system.

python data-science machine-learning movies collaborative-filtering randomforest matplotlib recommender-system regression-models movielens k-nearest-neighbours lasso-regression hybrid-recommender-system movies-recommendation content-based-filtering

Updated Nov 3, 2021
Jupyter Notebook

prakruti-joshi / Movie-Recommendation-System

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Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.

collaborative-filtering recommendation-system movie-recommendation movielens-dataset content-based-recommendation surprise-python hybrid-recommender-system svd-matrix-factorisation

Updated Sep 14, 2020
Jupyter Notebook

sukeshsangam / Deep-Learning-Model-for-Hybrid-Recommendation-Engine

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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

data-science machine-learning recommendation-system recommendation-engine hybrid-recommender-system hybrid-recommendation-engine

Updated Jun 25, 2018
Python

Md-Emon-Hasan / BookSage-AI

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Hybrid book recommendation system fusing a scikit-learn k-nearest-neighbors collaborative filtering model with a TF-IDF cosine-similarity content model, weighted-average combined and trained on the 1.1 million rating Book-Crossing dataset, served through a FastAPI backend with TTL caching, a decoupled React frontend, and Docker Compose deployment.

Updated Aug 5, 2026
Python

Divyanshu169 / IT556_Worthless_without_coffee_DA-IICT_Final_Project

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This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.

collaborative-filtering recommender-system content-based-recommendation hybrid-recommender-system goodbooks-10k popularity-recommender

Updated Nov 25, 2020
Python

YuzhouPeng / Linedin-User-profile-Hybrid-Recommendation

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Hybrid recommedation for talents

word2vec collaborative-filtering recommender-system doc2vec content-based-recommendation hybrid-recommender-system

Updated Apr 4, 2019
Python

faizanahemad / Hybrid-Weighted-Embedding-Recommender

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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

deep-learning tensorflow embeddings recommendation-system recommender-system hybrid-recommender-system

Updated Dec 8, 2022
Python

vjvishaljha / Recommender_Sys

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A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering

python machine-learning text-to-speech collaborative-filtering recommender-system speech-to-text movielens-dataset content-based-recommendation hybrid-recommender-system

Updated Jan 26, 2019
Jupyter Notebook

SamueleMeta / recommender-systems

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Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

slim matrix-factorization recommender-system bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks rp3beta

Updated Mar 15, 2021
Python

mesudepolat / Hybrid-Recommender-System

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Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.

recommendation-system hybrid-recommender-system user-based-recommendation item-based-recommendation

Updated Apr 1, 2024
Python

BeautifulBeer / Youflix

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Movie recommendation system based on hybrid recommender and clustering

collaborative-filtering recommendation-system k-means movie-recommendation content-based-recommendation movie-recommendation-system k-means-clustering hybrid-recommender-system grouplens

Updated Jan 4, 2023
Vue

MaurizioFD / CFeCBF

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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"

multimedia collaborative-filtering recsys recommender-system content-based-recommendation hybrid-recommendation hybrid-recommender-system feature-weighting hybrid-recommender

Updated Apr 3, 2019
Python

amanjeetsahu / Recommender-Systems-Using-Python

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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.