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NPA: Neural News Recommendation with Personalized Attention

NPA: Neural News Recommendation with Personalized Attention

Knowledge Discovery and Data Mining (KDD), 2019
12 July 2019
Chuhan Wu
Fangzhao Wu
Mingxiao An
Jianqiang Huang
Yongfeng Huang
Xing Xie
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "NPA: Neural News Recommendation with Personalized Attention"

50 / 81 papers shown
GRADE: Personalized Multi-Task Fusion via Group-relative Reinforcement Learning with Adaptive Dirichlet Exploration
GRADE: Personalized Multi-Task Fusion via Group-relative Reinforcement Learning with Adaptive Dirichlet Exploration
Tingfeng Hong
Pingye Ren
Xinlong Xiao
C. Wang
Chenyi Lei
Wenwu Ou
Han Li
177
0
0
09 Oct 2025
Understanding the Information Cocoon: A Multidimensional Assessment and Analysis of News Recommendation Systems
Understanding the Information Cocoon: A Multidimensional Assessment and Analysis of News Recommendation Systems
Xin Wang
Xiaowen Huang
Jitao Sang
115
0
0
14 Sep 2025
NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
Igor L.R. Azevedo
Toyotaro Suzumura
Yuichiro Yasui
76
0
0
29 Aug 2025
Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Seongeun Ryu
Yunyong Ko
Sang-Wook Kim
133
0
0
18 Aug 2025
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session RecommendationsACM Conference on Recommender Systems (RecSys), 2025
Lucien Heitz
Runze Li
Oana Inel
Abraham Bernstein
132
1
0
18 Aug 2025
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
D-RDW: Diversity-Driven Random Walks for News Recommender SystemsACM Conference on Recommender Systems (RecSys), 2025
Runze Li
Lucien Heitz
Oana Inel
Abraham Bernstein
134
2
0
18 Aug 2025
Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
Ming Tang
Xiaowen Huang
Jitao Sang
105
0
0
15 Aug 2025
When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps
When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps
Ming Tang
Xiaowen Huang
Jitao Sang
66
0
0
15 Aug 2025
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
Minh Hoang Nguyen
T. Nguyen
Minh Nhat Ta
Tung Le
Huy-Tien Nguyen
AI4TSVLM
234
0
0
27 Jul 2025
Privacy-Preserving Multimodal News Recommendation through Federated Learning
Privacy-Preserving Multimodal News Recommendation through Federated Learning
Mehdi Khalaj
Shahrzad Golestani Najafabadi
Julita Vassileva
190
0
0
21 Jul 2025
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
Md Aminul Islam
Ahmed Sayeed Faruk
448
0
0
08 May 2025
Enhancing News Recommendation with Hierarchical LLM Prompting
Enhancing News Recommendation with Hierarchical LLM PromptingThe Web Conference (WWW), 2025
Hai-Dang Kieu
Delvin Ce Zhang
Minh-Duc Nguyen
Min Xu
Qiang Wu
Dung D. Le
118
1
0
29 Apr 2025
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling
Qiang Li
Xinze Lin
Shenghao Lv
Faliang Huang
Xuelong Li
344
0
0
19 Apr 2025
Fact-Preserved Personalized News Headline Generation
Fact-Preserved Personalized News Headline GenerationIndustrial Conference on Data Mining (IDM), 2023
Zhao Yang
Junhong Lian
Xiang Ao
864
3
0
21 Jan 2025
EB-NeRD: A Large-Scale Dataset for News Recommendation
EB-NeRD: A Large-Scale Dataset for News Recommendation
Johannes Kruse
Kasper Lindskow
Saikishore Kalloori
Marco Polignano
Claudio Pomo
Abhishek Srivastava
Anshuk Uppal
Michael Riis Andersen
J. Frellsen
130
30
0
04 Oct 2024
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
Efficient Pointwise-Pairwise Learning-to-Rank for News RecommendationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Nithish Kannen
Yao Ma
Gerrit J. J. van den Burg
Jean Baptiste Faddoul
218
3
0
26 Sep 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
220
13
0
11 Sep 2024
Large Language Model Driven Recommendation
Large Language Model Driven Recommendation
Anton Korikov
Scott Sanner
Yashar Deldjoo
Zhankui He
Julian McAuley
...
René Vidal
M. Sathiamoorthy
Atoosa Kasrizadeh
Silvia Milano
Francesco Ricci
322
0
0
20 Aug 2024
MMREC: LLM Based Multi-Modal Recommender System
MMREC: LLM Based Multi-Modal Recommender SystemInternational Workshop on Semantic and Social Media Adaptation and Personalization (SSMAP), 2024
Jiahao Tian
Jinman Zhao
Zhenkai Wang
Zhicheng Ding
332
33
0
08 Aug 2024
A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
Igor L.R. Azevedo
Toyotaro Suzumura
Yuichiro Yasui
251
0
0
12 Jul 2024
Evaluating Ensemble Methods for News Recommender Systems
Evaluating Ensemble Methods for News Recommender Systems
Alexander Gray
Noorhan Abbas
137
0
0
23 Jun 2024
Time Matters: Enhancing Pre-trained News Recommendation Models with
  Robust User Dwell Time Injection
Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection
Hao Jiang
Chuanzhen Li
Mingxiao An
150
3
0
21 May 2024
News Recommendation with Category Description by a Large Language Model
News Recommendation with Category Description by a Large Language Model
Yukiharu Yada
Hayato Yamana
137
6
0
13 May 2024
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced
  Transformer
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
Zhihao Guan
Jia-Qi Yang
Yang Yang
Hengshu Zhu
Wenjie Li
Hui Xiong
175
4
0
05 Apr 2024
Enriching User Shopping History: Empowering E-commerce with a
  Hierarchical Recommendation System
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
Irem Islek
Ş. Öğüdücü
137
0
0
15 Mar 2024
SPAR: Personalized Content-Based Recommendation via Long Engagement
  Attention
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
Chiyu Zhang
Yifei Sun
Jun Chen
Jie Lei
Muhammad Abdul-Mageed
Sinong Wang
Rong Jin
Sem Park
Ning Yao
Bo Long
RALMVLM
196
8
0
16 Feb 2024
Modeling User Viewing Flow Using Large Language Models for Article
  Recommendation
Modeling User Viewing Flow Using Large Language Models for Article RecommendationThe Web Conference (WWW), 2023
Zhenghao Liu
Zulong Chen
Moufeng Zhang
Shaoyang Duan
Hong Wen
Liangyue Li
Nan Li
Yu Gu
Ge Yu
262
11
0
12 Nov 2023
Knowledge Graph Context-Enhanced Diversified Recommendation
Knowledge Graph Context-Enhanced Diversified Recommendation
Xiao-lin Liu
Liangwei Yang
Zhiwei Liu
Mingdai Yang
Chen Wang
Hao Peng
Philip S. Yu
220
16
0
20 Oct 2023
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News RecommendationThe Web Conference (WWW), 2023
Yunyong Ko
Seongeun Ryu
Sang-Wook Kim
AI4TS
487
2
0
13 Oct 2023
PerPLM: Personalized Fine-tuning of Pretrained Language Models via
  Writer-specific Intermediate Learning and Prompts
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Daisuke Oba
Naoki Yoshinaga
Masashi Toyoda
160
2
0
14 Sep 2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
LLMRec: Benchmarking Large Language Models on Recommendation Task
Junling Liu
Chao-Hong Liu
Peilin Zhou
Qichen Ye
Dading Chong
...
Yueqi Xie
Dongyuan Li
Shoujin Wang
Chenyu You
Philip S.Yu
ALMLRM
157
49
0
23 Aug 2023
LKPNR: LLM and KG for Personalized News Recommendation Framework
LKPNR: LLM and KG for Personalized News Recommendation Framework
Hao Chen
Runfeng Xie
Xia Cui
Zhou Yan
Wang Xin
Zhanwei Xuan
Kai Zhang
AI4TS
146
27
0
23 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and OpportunitiesWorld wide web (Bussum) (WWWB), 2023
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
258
253
0
31 Jul 2023
Going Beyond Local: Global Graph-Enhanced Personalized News
  Recommendations
Going Beyond Local: Global Graph-Enhanced Personalized News RecommendationsACM Conference on Recommender Systems (RecSys), 2023
Boming Yang
Dairui Liu
Toyotaro Suzumura
Ruihai Dong
Irene Li
280
45
0
13 Jul 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative
  Filtering
Dimension Independent Mixup for Hard Negative Sample in Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2023
Xi Wu
Liangwei Yang
Jibing Gong
Chao Zhou
Tianyu Lin
Xiao-lin Liu
Philip S. Yu
173
11
0
28 Jun 2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Chuhan Wu
Jingjie Li
Qinglin Jia
Hong Zhu
Yuan Fang
Ruiming Tang
149
4
0
26 Jun 2023
Recent Developments in Recommender Systems: A Survey
Recent Developments in Recommender Systems: A SurveyIEEE Computational Intelligence Magazine (IEEE CIM), 2023
Yang Li
Kangbo Liu
Frank Xing
Suhang Wang
Erik Cambria
OffRL
258
71
0
22 Jun 2023
ONCE: Boosting Content-based Recommendation with Both Open- and
  Closed-source Large Language Models
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language ModelsWeb Search and Data Mining (WSDM), 2023
Qijiong Liu
Polydoros Giannouris
Tetsuya Sakai
Xiao-Ming Wu
303
107
0
11 May 2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
PUNR: Pre-training with User Behavior Modeling for News RecommendationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Guangyuan Ma
Hongtao Liu
Xing Wu
Wanhui Qian
Zhepeng Lv
Q. Yang
Songlin Hu
SSL
226
5
0
25 Apr 2023
Prompt Learning for News Recommendation
Prompt Learning for News RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zizhuo Zhang
Bang-wei Wang
AI4TS
152
84
0
11 Apr 2023
SmartBook: AI-Assisted Situation Report Generation for Intelligence
  Analysts
SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts
R. Reddy
Daniel Lee
Yi R. Fung
Khanh Duy Nguyen
Qi Zeng
Pengfei Yu
Ziqi Wang
Clare R. Voss
Heng Ji
251
9
0
25 Mar 2023
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate
  Political Stance Prediction
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance PredictionThe Web Conference (WWW), 2023
Yunyong Ko
Seongeun Ryu
Soeun Han
Youngseung Jeon
Jaehoon Kim
Sohyun Park
Kyungsik Han
Hanghang Tong
Sang-Wook Kim
269
20
0
23 Feb 2023
DOR: A Novel Dual-Observation-Based Approach for News Recommendation
  Systems
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Mengyan Wang
Weihua Li
Jingli Shi
Shiqing Wu
Quan-wei Bai
131
0
0
02 Feb 2023
Disentangled Representation for Diversified Recommendations
Disentangled Representation for Diversified RecommendationsWeb Search and Data Mining (WSDM), 2023
Xiaoying Zhang
Hongning Wang
Hang Li
CML
151
17
0
13 Jan 2023
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
DIGAT: Modeling News Recommendation with Dual-Graph InteractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhiming Mao
Jun Yu Li
Hongru Wang
Xingshan Zeng
Kam-Fai Wong
GNN
253
23
0
11 Oct 2022
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News
  Recommendation
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News Recommendation
Songhao Han
Wei-Ping Huang
Xiaotian Luan Beihang University
AI4TS
172
6
0
06 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended
  Version)
IGNiteR: News Recommendation in Microblogging Applications (Extended Version)Industrial Conference on Data Mining (IDM), 2022
Yuting Feng
Bogdan Cautis
GNNAI4TS
142
3
0
04 Oct 2022
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in
  News Recommendations
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News RecommendationsACM Conference on Recommender Systems (RecSys), 2022
Sanne Vrijenhoek
Gabriel Bénédict
Mateo Gutierrez Granada
Daan Odijk
Maarten de Rijke
170
53
0
17 Sep 2022
Understanding the Relation of User and News Representations in
  Content-Based Neural News Recommendation
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
Lucas Moller
Sebastian Padó
99
1
0
29 Jul 2022
Few-shot News Recommendation via Cross-lingual Transfer
Few-shot News Recommendation via Cross-lingual TransferThe Web Conference (WWW), 2022
Taicheng Guo
Lu Yu
B. Shihada
Xiangliang Zhang
245
10
0
28 Jul 2022
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