There are 11 repositories under news-recommendation topic.
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
PyTorch-Lightning Library for Neural News Recommendation
Stream Data based News Recommendation - Contextual Bandit Approach
Implementation of several news recommendation methods in Pytorch.
[EMNLP 2022] Official Pytorch implementation for "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation"
A collection of neural news recommendation methods built with PyTorch.
A 3D CNN based model for 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.
News Recommendation with Category Description by a Large Language Model
Research into personalized levels of diversity in news recommendation. MSc AI Thesis @ UvA
This repository contains a collection of Data Science and Machine learning projects.
Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"
Aspect-driven User Preference and News Representation Learning for News Recommendation
Official code repo for TCSS paper "Simulating News Recommendation Ecosystems for Insights and Implications"
A framework to ranking information based on user preferences
Repository for the HLT master thesis "Diversifying News Recommendation Systems by Detecting Fragmentation in News Story Chains" by Alessandra Polimeno
Exploring Expressed Emotions for Neural News Recommendation
Collaborative filtering and Content based filtering Recommender System
News portal for nepali community with devnagari scripts combined with various machine learning features such as sentiment analysis, news category classifier, news summarizer with english translation, news recommendation
Empowering Nepali language processing with machine learning: Tools for sentiment analysis, news classification, summarization and personalized recommendations
The Personalized News Recommendation System uses an interactive GUI, NLP for article categorization, and ML for personalized recommendations based on user preferences and ratings. It offers tailored news from categories like technology, sports, and entertainment.
The aim of this work is to predict similar text data, given a text data. The text vectorization is done using CountVectorizer.