Stream Data based News Recommendation - Contextual Bandit Approach
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Updated
Nov 15, 2017 - Jupyter Notebook
Stream Data based News Recommendation - Contextual Bandit Approach
A 3D CNN based model for news recommendation
A framework to ranking information based on user preferences
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
Neural News Recommendation with Multi-Head Self-Attention using BERT
Collaborative filtering and Content based filtering Recommender System
Implementation of several news recommendation methods in Pytorch.
About code for "Context-aware Graph Embedding for Session-based News Recommendation"
Research into personalized levels of diversity in news recommendation. MSc AI Thesis @ UvA
Repository for the HLT master thesis "Diversifying News Recommendation Systems by Detecting Fragmentation in News Story Chains" by Alessandra Polimeno
This repository contains a collection of Data Science and Machine learning projects.
A collection of neural news recommendation methods built with PyTorch.
Aspect-driven User Preference and News Representation Learning for News Recommendation
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Exploring Expressed Emotions for Neural News Recommendation
The aim of this work is to predict similar text data, given a text data. The text vectorization is done using CountVectorizer.
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