Source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network

Last update: Sep 22, 2022

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Overview

D-HAN

The source code of D-HAN

This is the source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network. However, only the code of three tested datasets is uploaded.

Since the main contributions include: (1) We propose to simultaneously capture different granular information, i.e., sentence-, element-, document- and sequence-level information for news recommendation. (2) We propose to recommend news dynamically by a time-aware document-level attention layer, which incorporates the absolute and relative time information. (3) We propose to incorporate negative sampling into the training process to facilitate model optimization.

You can check the code for their corresponding implementation details, it is very easy to understand. Of course, if you have any questions, please create issues in this repo, and I will respond you as soon as possible.

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