Papers with hierarchical user interest matching framework
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation (2021.acl-long)
Copied to clipboard
| Challenge: | Existing news recommendation methods learn a single user embedding for each user from their previous behaviors to represent their overall interest. Existing methods only learn 'one' embeddable representation vectors to model user interest. |
| Approach: | They propose a news recommendation method with hierarchical user interest modeling that captures user interest in news rather than a single user embedding. |
| Outcome: | The proposed method can better capture multi-grained user interest in news. |