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.

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

4 different recommendation engines for the MovieLens dataset.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This repository contains the code for building movie recommendation engine.

An advanced "content-based filtering" movie recommendation system built with Python, scikit-learn, and SQLite. It provides personalized movie suggestions based on user preferences through data analysis, and also allows users to search by a specific movie title to find similar recommendations.

This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset

A simple content-based recommender implemented in javascript

PyTorch-Lightning Library for Neural News Recommendation

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Complexly represent contents, build recommender systems, evaluate them. All in one place!

Next-up, a movie recommendation system project created for Microsoft Intern Engage' 2022. I got selected for Software Engineering Internship '23 at Microsoft via this program.

🎤 Building a content-based podcast recommender system using NLP

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

📚 Library Management System Full PROJECT (MERN Stack) ✨ with Book Recommendation System (Content-Based-Filtering) 🔥

Grocery Recommendation on Instacart Data

Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)

A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.

Skin Care Recommender System Based on Skin Problems Using Content-Based Filtering