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.

Reinforced Recommendation toolkit built around pytorch 1.7

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

零基础入门推荐系统 - 新闻推荐 Top2

Stream Data based News Recommendation - Contextual Bandit Approach

PyTorch-Lightning Library for Neural News Recommendation

Implementation of several news recommendation methods in Pytorch.

The source code of D-HAN

Neural News Recommendation with Multi-Head Self-Attention using BERT

[EMNLP 2022] Official Pytorch implementation for "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation"

A 3D CNN based model for news recommendation

A collection of neural news recommendation methods built with PyTorch.

About code for "Context-aware Graph Embedding for Session-based News Recommendation"

Demo code for news click-through rate prediction competition.

PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.

Research into personalized levels of diversity in news recommendation. MSc AI Thesis @ UvA

Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"

This repository contains a collection of Data Science and Machine learning projects.

Aspect-driven User Preference and News Representation Learning for News Recommendation