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News Recommendation

Papers

Showing 125 of 193 papers

TitleStatusHype
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
MIND Your Language: A Multilingual Dataset for Cross-lingual News RecommendationCode2
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News RecommendationCode1
Graph Neural News Recommendation with Unsupervised Preference DisentanglementCode1
MINER: Multi-Interest Matching Network for News RecommendationCode1
Neural News Recommendation with Collaborative News Encoding and Structural User EncodingCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
D-HAN: Dynamic News Recommendation with Hierarchical Attention NetworkCode1
Generative News RecommendationCode1
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
LKPNR: LLM and KG for Personalized News Recommendation FrameworkCode1
Empowering News Recommendation with Pre-trained Language ModelsCode1
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational AutoencoderCode1
NewsRecLib: A PyTorch-Lightning Library for Neural News RecommendationCode1
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language ModelsCode1
Counterfactual Evaluation of Slate Recommendations with Sequential Reward InteractionsCode1
DIGAT: Modeling News Recommendation with Dual-Graph InteractionCode1
Discrete Semantic Tokenization for Deep CTR PredictionCode1
Dan: Deep attention neural network for news recommendationCode1
Fastformer: Additive Attention Can Be All You NeedCode1
GIANT: Scalable Creation of a Web-scale OntologyCode1
Going Beyond Local: Global Graph-Enhanced Personalized News RecommendationsCode1
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak DecoderCode1
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak DecoderCode1
Privacy-Preserving News Recommendation Model LearningCode1
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