Exploring Expressed Emotions for Neural News Recommendation
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Updated
Oct 24, 2024 - Python
Exploring Expressed Emotions for Neural News Recommendation
PyTorch-Lightning Library for Neural News Recommendation
News Recommendation with Category Description by a Large Language Model
Official code repo for TCSS paper "Simulating News Recommendation Ecosystems for Insights and Implications"
Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"
Demo code for news click-through rate prediction competition.
[EMNLP 2022] Official Pytorch implementation for "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation"
PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.
The aim of this work is to predict similar text data, given a text data. The text vectorization is done using CountVectorizer.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Aspect-driven User Preference and News Representation Learning for News Recommendation
A collection of neural news recommendation methods built with PyTorch.
This repository contains a collection of Data Science and Machine learning projects.
Repository for the HLT master thesis "Diversifying News Recommendation Systems by Detecting Fragmentation in News Story Chains" by Alessandra Polimeno
Research into personalized levels of diversity in news recommendation. MSc AI Thesis @ UvA
About code for "Context-aware Graph Embedding for Session-based News Recommendation"
Implementation of several news recommendation methods in Pytorch.
Collaborative filtering and Content based filtering Recommender System
Neural News Recommendation with Multi-Head Self-Attention using BERT
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