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.

4 different recommendation engines for the MovieLens dataset.

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This repository contains the code for building movie recommendation engine.

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

A simple content-based recommender implemented in javascript

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

PyTorch-Lightning Library for Neural News Recommendation

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.

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

🎤 Building a content-based podcast recommender system using NLP

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.

Grocery Recommendation on Instacart Data

Content Based Recommender System for real estate properties.

Hybrid recommedation for talents

TibaMe 「打造智能推薦系統：用AI搞懂客戶精準行銷」 實作課程程式碼