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News Recommendation

Papers

Showing 150 of 193 papers

TitleStatusHype
MIND Your Language: A Multilingual Dataset for Cross-lingual News RecommendationCode2
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
Discrete Semantic Tokenization for Deep CTR PredictionCode1
Wide & Deep Learning for Recommender SystemsCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
Prompt Learning for News RecommendationCode1
Tiny-NewsRec: Effective and Efficient PLM-based News RecommendationCode1
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News RecommendationCode1
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News RecommendationCode1
Why Do We Click: Visual Impression-aware News RecommendationCode1
Neural News Recommendation with Collaborative News Encoding and Structural User EncodingCode1
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak DecoderCode1
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational AutoencoderCode1
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender SystemsCode1
Generative News RecommendationCode1
Privacy-Preserving News Recommendation Model LearningCode1
GIANT: Scalable Creation of a Web-scale OntologyCode1
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training ObjectivesCode1
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak DecoderCode1
UA-FedRec: Untargeted Attack on Federated News RecommendationCode1
LKPNR: LLM and KG for Personalized News Recommendation FrameworkCode1
MINER: Multi-Interest Matching Network for News RecommendationCode1
Training Large-Scale News Recommenders with Pretrained Language Models in the LoopCode1
NewsRecLib: A PyTorch-Lightning Library for Neural News RecommendationCode1
Empowering News Recommendation with Pre-trained Language ModelsCode1
Counterfactual Evaluation of Slate Recommendations with Sequential Reward InteractionsCode1
Dan: Deep attention neural network for news recommendationCode1
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News RecommendationCode1
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
Graph Neural News Recommendation with Unsupervised Preference DisentanglementCode1
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language ModelsCode1
Fastformer: Additive Attention Can Be All You NeedCode1
Going Beyond Local: Global Graph-Enhanced Personalized News RecommendationsCode1
D-HAN: Dynamic News Recommendation with Hierarchical Attention NetworkCode1
DIGAT: Modeling News Recommendation with Dual-Graph InteractionCode1
News Session-Based Recommendations using Deep Neural NetworksCode0
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake NewsCode0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
News Recommendation with Category Description by a Large Language ModelCode0
NRPA: Neural Recommendation with Personalized AttentionCode0
Neural News Recommendation with Long- and Short-term User RepresentationsCode0
Neural News Recommendation with Multi-Head Self-AttentionCode0
Neural News Recommendation with Attentive Multi-View LearningCode0
Multi-Task Feature Learning for Knowledge Graph Enhanced RecommendationCode0
Contextual Hybrid Session-based News Recommendation with Recurrent Neural NetworksCode0
NeMig -- A Bilingual News Collection and Knowledge Graph about MigrationCode0
MIND: A Large-scale Dataset for News RecommendationCode0
Comprehensive dataset of user-submitted articles with ideological and extreme bias from RedditCode0
Few-shot News Recommendation via Cross-lingual TransferCode0
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