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.
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Updated
May 21, 2019 - Java
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
Stream Data based News Recommendation - Contextual Bandit Approach
Implementation of several news recommendation methods in Pytorch.
PyTorch-Lightning Library for Neural News Recommendation
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
About code for "Context-aware Graph Embedding for Session-based News Recommendation"
A collection of neural news recommendation methods built with PyTorch.
Demo code for news click-through rate prediction competition.
Research into personalized levels of diversity in news recommendation. MSc AI Thesis @ UvA
PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.
This repository contains a collection of Data Science and Machine learning projects.
Aspect-driven User Preference and News Representation Learning for News Recommendation
Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"
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