Name
Abstract | ||
|---|---|---|
•We propose a novel graph neural news recommendation model GNewsRec with long-term and short-term user interest modeling.•Our model constructs a heterogeneous user-news-topic graph and then applies graph convolution networks to learn user and news embeddings with high-order information endcoded by propagating embeddings over the graph.•Our proposed model significantly outperforms state-of-the-art method on news recommendation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ipm.2019.102142 | Information Processing & Management |
Keywords | DocType | Volume |
News recommendation,Graph neural networks,Long-term interest,Short-term interest | Journal | 57 |
Issue | ISSN | Citations |
2 | 0306-4573 | 9 |
PageRank | References | Authors |
0.92 | 0 | 5 |