Neural news recommendation approach with multi-head self- attention (NRMS)

NRMS implementation (Wu et al., 2019): - Neural News Recommendation with Multi-Head Self-Attention.

Description

The core of this approach is a news encoder and a user encoder. In the news encoder, we use multi-head self-attentions to learn news representations from news titles by modeling the interactions between words. In the user encoder, we learn representations of users from their browsed news and use multi- head self-attention to capture the relatedness between the news.

Installation

In order to set up the necessary environment:

1. create an environment nrms with the help of [conda],

   conda env create -f environment.yaml
   

2. activate the new environment with

   conda activate newsrecom