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News Recommendation

Papers

Showing 125 of 193 papers

TitleStatusHype
IP2: Entity-Guided Interest Probing for Personalized News Recommendation0
I'll believe it when I see it: Images increase misinformation sharing in Vision-Language ModelsCode0
Enhancing News Recommendation with Hierarchical LLM Prompting0
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation0
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling0
Beyond the Surface: Uncovering Implicit Locations with LLMs for Personalized Local News0
Enhancing Prediction Models with Reinforcement Learning0
Rethinking negative sampling in content-based news recommendation0
Personalized News Recommendation System via LLM Embedding and Co-Occurrence Patterns0
Transformers4NewsRec: A Transformer-based News Recommendation Framework0
EB-NeRD: A Large-Scale Dataset for News Recommendation0
Cognitive Biases in Large Language Models for News Recommendation0
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations0
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation0
Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning0
Comprehensive dataset of user-submitted articles with ideological and extreme bias from RedditCode0
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation0
Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual0
Evaluating Ensemble Methods for News Recommender Systems0
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize0
RICo: Reddit ideological communitiesCode0
Posterior Sampling via Autoregressive Generation0
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