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Fast Adaptively Weighted Matrix Factorization for Recommendation with
  Implicit Feedback

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

AAAI Conference on Artificial Intelligence (AAAI), 2020
4 March 2020
Jiawei Chen
Can Wang
Sheng Zhou
Qihao Shi
Jingbang Chen
Yan Feng
Chun-Yen Chen
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback"

17 / 17 papers shown
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Yunqi Mi
Jiakui Shen
Guoshuai Zhao
Jialie Shen
Xueming Qian
FedML
157
0
0
27 Aug 2025
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
Cross-Domain Latent Factors Sharing via Implicit Matrix FactorizationACM Conference on Recommender Systems (RecSys), 2024
Abdulaziz Samra
Evgeney Frolov
Alexey Vasilev
Alexander Grigorievskiy
Anton Vakhrushev
267
9
0
23 Sep 2024
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
CDR: Conservative Doubly Robust Learning for Debiased RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Zijie Song
Jiawei Chen
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
432
29
0
13 Aug 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional
  Transformers
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersKnowledge Discovery and Data Mining (KDD), 2022
Khalil Damak
Sami Khenissi
O. Nasraoui
BDL
241
10
0
22 Jan 2023
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering
  Service
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering ServiceIEEE International Conference on Data Engineering (ICDE), 2022
Boya Du
Shaochuan Lin
Jiong Gao
Xiyu Ji
Mengya Wang
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
323
7
0
22 Nov 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation
Rethinking Missing Data: Aleatoric Uncertainty-Aware RecommendationIEEE Transactions on Big Data (TBD), 2022
Chenxu Wang
Fuli Feng
Yang Zhang
Qifan Wang
Xu Hu
Xiangnan He
344
15
0
22 Sep 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
DaisyRec 2.0: Benchmarking Recommendation for Rigorous EvaluationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhu Sun
Hui Fang
Jie Yang
Xinghua Qu
Hongyang Liu
Di Yu
Yew-Soon Ong
Jie M. Zhang
344
47
0
22 Jun 2022
Generating Self-Serendipity Preference in Recommender Systems for
  Addressing Cold Start Problems
Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems
Yuanbo Xu
Yongjian Yang
E. Wang
LRM
273
0
0
27 Apr 2022
Graph-incorporated Latent Factor Analysis for High-dimensional and
  Sparse Matrices
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
Di Wu
Yi He
Xin Luo
166
0
0
16 Apr 2022
Debiased Explainable Pairwise Ranking from Implicit Feedback
Debiased Explainable Pairwise Ranking from Implicit FeedbackACM Conference on Recommender Systems (RecSys), 2021
Khalil Damak
Sami Khenissi
O. Nasraoui
244
20
0
30 Jul 2021
Denoising User-aware Memory Network for Recommendation
Denoising User-aware Memory Network for Recommendation
Zhiwei. Bian
Shaojun Zhou
Hao Xu
Qihong Yang
Zhenqi Sun
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
HAIAI4TS
249
44
0
12 Jul 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density EstimationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
240
0
0
11 May 2021
AutoDebias: Learning to Debias for Recommendation
AutoDebias: Learning to Debias for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
661
243
0
10 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
459
414
0
27 Apr 2021
Entropy Minimizing Matrix Factorization
Entropy Minimizing Matrix FactorizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Mulin. Chen
Xuelong Li
293
10
0
24 Mar 2021
Joint Variational Autoencoders for Recommendation with Implicit Feedback
Joint Variational Autoencoders for Recommendation with Implicit Feedback
Bahare Askari
Jaroslaw Szlichta
Amirali Salehi-Abari
DRL
193
4
0
17 Aug 2020
A Survey on Concept Factorization: From Shallow to Deep Representation
  Learning
A Survey on Concept Factorization: From Shallow to Deep Representation LearningInformation Processing & Management (IPM), 2020
Zhao Zhang
Yan Zhang
Mingliang Xu
Li Zhang
Yi Yang
Shuicheng Yan
365
36
0
31 Jul 2020
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