| EB-NeRD: A Large-Scale Dataset for News Recommendation | Oct 4, 2024 | ArticlesNews Recommendation | —Unverified | 0 | 0 |
| Fast gradient descent for drifting least squares regression, with application to bandits | Jul 11, 2013 | News Recommendationregression | —Unverified | 0 | 0 |
| FeedRec: News Feed Recommendation with Various User Feedbacks | Feb 9, 2021 | News Recommendation | —Unverified | 0 | 0 |
| Fighting Filterbubbles with Adversarial BERT-Training for News-Recommendation | Jan 1, 2021 | ArticlesNews Recommendation | —Unverified | 0 | 0 |
| Fine-grained Interest Matching for Neural News Recommendation | Jul 1, 2020 | News Recommendation | —Unverified | 0 | 0 |
| FUM: Fine-grained and Fast User Modeling for News Recommendation | Apr 10, 2022 | News Recommendation | —Unverified | 0 | 0 |
| GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers | Jan 12, 2022 | ArticlesNews Recommendation | —Unverified | 0 | 0 |
| General Item Representation Learning for Cold-start Content Recommendations | Apr 22, 2024 | News RecommendationRecommendation Systems | —Unverified | 0 | 0 |
| Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content | Aug 1, 2021 | ArticlesDiversity | —Unverified | 0 | 0 |
| DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems | Feb 2, 2023 | News RecommendationRecommendation Systems | —Unverified | 0 | 0 |
