Papers with news recommender system
Accuracy meets Diversity in a News Recommender System (2022.coling-1)
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| Challenge: | Existing news recommender systems use news stories that users have read in the past to infer their interests and preferences. |
| Approach: | They propose a two-tower architecture that learns news representation through a news item tower and users’ representations through s query towers. |
| Outcome: | The proposed architecture achieves a balance between accuracy and diversity on two news datasets. |