This repository is the implementation of KRED: Knowledge-Aware Document Representation for News Recommendations

KRED is a knowledge enhanced framework which enhance a document embedding with knowledge information for multiple news recommendation tasks. The framework mainly contains two part: representation enhancement part(left) and multi-task training part(right).

We use MIND dataset in this repo, due to MIND dataset doesn't contain location information, so in this experiments we do not use the local news detection task.

$ python main.py  (this will run KRED for user2item single task training set by default parameters)

we also offer a quick example in this notebook: kred_example.ipynb

The code has been tested running under Python 3.6.10, with the following packages installed (along with their dependencies):

• numpy==1.19.1
• pytorchtools==0.0.2
• scikit-learn==0.23.2
• scipy==1.5.2
• torch==1.4.0