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News Recommendation with Candidate-aware User Modeling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1145/3097983.3098108openalex-snapshot
Embedding-based News Recommendation for Millions of Users
inferredcites →https://doi.org/10.1145/3366423.3380050openalex-snapshot
Graph Enhanced Representation Learning for News Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462861openalex-snapshot
Personalized News Recommendation with Knowledge-aware Interactive Matching
inferredcites →https://doi.org/10.1145/3404835.3463069openalex-snapshot
Empowering News Recommendation with Pre-trained Language Models
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.77openalex-snapshot
Fine-grained Interest Matching for Neural News Recommendation
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.128openalex-snapshot
Privacy-Preserving News Recommendation Model Learning
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.423openalex-snapshot
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.424openalex-snapshot
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.124openalex-snapshot
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
inferredcites →https://doi.org/10.24963/ijcai.2019/424openalex-snapshot
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network
inferredcites →https://doi.org/10.24963/ijcai.2020/418openalex-snapshot
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2021/224openalex-snapshot
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_12openalex-snapshot
Intention-Aware User Modeling for Personalized News Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-43421-1_24openalex-snapshot
News Recommendation via Jointly Modeling Event Matching and Style Matching
inferred← citeshttps://doi.org/10.1007/978-3-031-44195-0_23openalex-snapshot
Candidate-Aware Dynamic Representation for News Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-70893-0_27openalex-snapshot
MIND Your Language: A Multilingual Dataset for Cross-Lingual News Recommendation (Extended Abstract)
inferred← citeshttps://doi.org/10.1007/978-3-031-88711-6_8openalex-snapshot
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-Lingual News Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-21289-4_35openalex-snapshot
PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-96-4279-3_5openalex-snapshot
MIMCN: Multi-Interest Modeling with Capsule Network for News Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-5779-4_29openalex-snapshot
Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-5779-4_36openalex-snapshot
What if User Preferences Shifts: Causal Disentanglement for News Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-99-1645-0_56openalex-snapshot
CATM: Candidate-Aware Temporal Multi-head Self-attention News Recommendation Model
inferred← citeshttps://doi.org/10.1007/s11063-025-11743-zopenalex-snapshot
MTCR: Method for Matching Texts Against Causal Relationship
inferred← citeshttps://doi.org/10.1007/s11227-023-05175-6openalex-snapshot
MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation
inferred← citeshttps://doi.org/10.1007/s11227-024-06025-9openalex-snapshot
Graph neural news recommendation based on multi-view representation learning
inferred← citeshttps://doi.org/10.1007/s11227-024-06502-1openalex-snapshot
Multi-granularity label-aware user interest modeling for news recommendation
inferred← citeshttps://doi.org/10.1007/s13042-025-02837-0openalex-snapshot
HDNR: hierarchical disentanglement for news recommendation
inferred← citeshttps://doi.org/10.1007/s13042-026-03109-1openalex-snapshot
Personalized news recommendation with multi-granularity candidate-aware user modeling
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110404openalex-snapshot
A Dynamic Cross-Domain Recommendation Model with Target-Aware Complementary Preference Transfer and Information Fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123308openalex-snapshot
Popularity prediction with semantic retrieval for news recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103765openalex-snapshot
Predicting users’ future interests on social networks: A reference framework
inferred← citeshttps://doi.org/10.1038/s41598-025-85166-0openalex-snapshot
Multi-view knowledge representation learning for personalized news recommendation
inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10580511openalex-snapshot
HGTA: News Recommendation Based on Hierarchical Granular Semantic Embeddings and Threshold Attention
inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10580786openalex-snapshot
CAFI: News Recommendation with Candidate Perception of Fine-Grained Interaction Information
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445991openalex-snapshot
Multi-View Interactive Compromise Learning for Group Recommendation
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831543openalex-snapshot
NQNR: News Recommendation Method Based on News Quality-Aware Modeling
inferred← citeshttps://doi.org/10.1109/tcss.2022.3201944openalex-snapshot
MIAR: Interest-Activated News Recommendation by Fusing Multichannel Information
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581806openalex-snapshot
Personalized News Recommendation Towards the Era of LLMs: Review and Prospect
inferred← citeshttps://doi.org/10.1145/3539618.3591752openalex-snapshot
Prompt Learning for News Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3592035openalex-snapshot
Personalized Dynamic Recommender System for Investors
inferred← citeshttps://doi.org/10.1145/3539618.3592062openalex-snapshot
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
inferred← citeshttps://doi.org/10.1145/3583780.3615272openalex-snapshot
TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation
inferred← citeshttps://doi.org/10.1145/3625403.3625437openalex-snapshot
Enhanced Semantic Matching with Topic-aware and Fine-grained User Modeling for News Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3657867openalex-snapshot
MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
inferred← citeshttps://doi.org/10.1145/3627508.3638289openalex-snapshot
Teachable Facets: A Framework of Interactive Machine Teaching for Information Filtering
inferred← citeshttps://doi.org/10.1145/3627673.3679979openalex-snapshot
PP4RNR: Popularity- and Position-Aware Contrastive Learning for Retrieval-Driven News Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688185openalex-snapshot
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
inferred← citeshttps://doi.org/10.1145/3652583.3658093openalex-snapshot
A Causal View for Multi-Interest User Modeling in News Recommendation
inferred← citeshttps://doi.org/10.1145/3673233openalex-snapshot
Explaining Neural News Recommendation with Attributions onto Reading Histories
inferred← citeshttps://doi.org/10.1145/3705328.3759309openalex-snapshot
Normative Alignment of Recommender Systems via Internal Label Shift
inferred← citeshttps://doi.org/10.1145/3726302.3729912openalex-snapshot
Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations
inferred← citeshttps://doi.org/10.1145/3726302.3730210openalex-snapshot
Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line Graphs
inferred← citeshttps://doi.org/10.1145/3726302.3730233openalex-snapshot
Multi-Interest Matching for Personalized News Recommendation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3729422openalex-snapshot
Causal Time-aware News Recommendations with Large Language Models
inferred← citeshttps://doi.org/10.1177/30504554251407092openalex-snapshot
User Profiling and Its Dynamics: A Narrative Review
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01411124openalex-snapshot
Incorporating News Tags into Neural News Recommendation in Indonesian Language
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-demo.26openalex-snapshot
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
inferred← citeshttps://doi.org/10.3390/app15010300openalex-snapshot
News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling
inferred← citeshttps://doi.org/10.3390/info17080747openalex-snapshot
FDDP-RN: Frequency-Domain Denoising and Popularity Bias Correction Recommendation Network
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