Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2005.09683
Cited By

Neural Collaborative Filtering vs. Matrix Factorization Revisited

v1v2 (latest)

Neural Collaborative Filtering vs. Matrix Factorization Revisited

19 May 2020

Li Zhang

John R. Anderson

ArXiv (abs)PDF HTML

Papers citing "Neural Collaborative Filtering vs. Matrix Factorization Revisited"

50 / 129 papers shown

Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing

Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing

Maurizio Ferrari Dacrema

Michael Benigni

285

2

0

30 Mar 2026

Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms?

Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms?

126

0

0

25 Nov 2025

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective

171

1

0

27 Oct 2025

Aligning Language Models with Investor and Market Behavior for Financial Recommendations

Aligning Language Models with Investor and Market Behavior for Financial Recommendations

Fernando Spadea

Oshani Seneviratne

172

1

0

14 Oct 2025

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking SystemAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025

202

2

0

16 Sep 2025

Model-agnostic post-hoc explainability for recommender systems

Model-agnostic post-hoc explainability for recommender systemsExpert systems with applications (ESWA), 2025

Jose L. Salmeron

114

1

0

12 Sep 2025

Practice on Long Behavior Sequence Modeling in Tencent Advertising

Practice on Long Behavior Sequence Modeling in Tencent Advertising

...

125

2

0

10 Sep 2025

ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations

ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations

Pirmin Lemberger

140

2

0

27 Aug 2025

Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities

Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities

168

4

0

10 Aug 2025

Generative Recommendation with Semantic IDs: A Practitioner's Handbook

Generative Recommendation with Semantic IDs: A Practitioner's Handbook

Clark Mingxuan Ju

Louis Yufeng Wang

197

13

0

29 Jul 2025

RankMixer: Scaling Up Ranking Models in Industrial Recommenders

RankMixer: Scaling Up Ranking Models in Industrial Recommenders

...

326

40

0

21 Jul 2025

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025

240

5

0

25 May 2025

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2025

507

0

0

23 May 2025

Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning

Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning

Amparo Alonso-Betanzos

Bertha Guijarro-Berdiñas

Carlos Eiras-Franco

125

0

0

19 May 2025

On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective

On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective

Donald Loveland

473

4

0

16 May 2025

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided CalibrationWeb Search and Data Mining (WSDM), 2025

314

3

0

19 Apr 2025

Single-Pass Document Scanning for Question Answering

Single-Pass Document Scanning for Question Answering

Taylor Berg-Kirkpatrick

213

2

0

04 Apr 2025

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings

Michael Boratko

Andrew McCallum

215

0

0

15 Feb 2025

A Worrying Reproducibility Study of Intent-Aware Recommendation Models

A Worrying Reproducibility Study of Intent-Aware Recommendation ModelsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025

Maurizio Ferrari Dacrema

Dietmar Jannach

264

2

0

20 Jan 2025

Efficient Link Prediction via GNN Layers Induced by Negative Sampling

Efficient Link Prediction via GNN Layers Induced by Negative SamplingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

387

16

0

31 Dec 2024

A Survey on Deep Neural Networks in Collaborative Filtering
Recommendation Systems

A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems

Shahrul Azman Mohd Noah

Hafiz Mohd Sarim

371

15

0

02 Dec 2024

Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters

Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that MattersACM Transactions on Recommender Systems (TRS), 2024

Dietmar Jannach

Marko Tkalčič

346

1

0

25 Nov 2024

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive
Ablation Study for Ensemble Classifiers

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers

Gjergji Kasneci

Enkelejda Kasneci

371

10

0

03 Nov 2024

Beyond Retrieval: Generating Narratives in Conversational Recommender
Systems

Beyond Retrieval: Generating Narratives in Conversational Recommender SystemsThe Web Conference (WWW), 2024

Raghavendra Vasudeva

Yuri Vasilevski

Sukhdeep S. Sodhi

341

8

0

22 Oct 2024

Integrating Natural Language Prompting Tasks in Introductory Programming
Courses

Integrating Natural Language Prompting Tasks in Introductory Programming Courses

David H Smith IV

Andrew Luxton-Reilly

Stephen MacNeil

296

1

0

04 Oct 2024

Multi-modal clothing recommendation model based on large model and VAE
enhancement

Multi-modal clothing recommendation model based on large model and VAE enhancementArtificial Intelligence and Cloud Computing Conference (AICC), 2024

Qingyi Lu

Shuaishuai Huang

304

8

0

03 Oct 2024

Long-Sequence Recommendation Models Need Decoupled Embeddings

Long-Sequence Recommendation Models Need Decoupled EmbeddingsInternational Conference on Learning Representations (ICLR), 2024

Baixu Chen

371

14

0

03 Oct 2024

Neural Collaborative Filtering to Detect Anomalies in Human Semantic
Trajectories

Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories

Lance Kennedy

Andreas Züfle

203

12

0

27 Sep 2024

Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail
Recommendation

Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation

135

0

0

17 Sep 2024

Improved Diversity-Promoting Collaborative Metric Learning for
Recommendation

Improved Diversity-Promoting Collaborative Metric Learning for RecommendationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

Xiaochun Cao

Qingming Huang

406

13

0

02 Sep 2024

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction

712

5

0

16 Aug 2024

Efficient Document Ranking with Learnable Late Interactions

Efficient Document Ranking with Learnable Late Interactions

Ziwei Ji

Sashank J. Reddi

Sadeep Jayasumana

327

10

0

25 Jun 2024

Towards Fairness in Provably Communication-Efficient Federated
Recommender Systems

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems

342

0

0

03 May 2024

Actions Speak Louder than Words: Trillion-Parameter Sequential
Transducers for Generative Recommendations

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

...

383

190

0

27 Feb 2024

Multilinear Kernel Regression and Imputation via Manifold Learning

Multilinear Kernel Regression and Imputation via Manifold LearningIEEE Open Journal of Signal Processing (JOSP), 2024

Konstantinos Slavakis

286

5

0

06 Feb 2024

Scalable Higher-Order Tensor Product Spline Models

Scalable Higher-Order Tensor Product Spline Models

267

4

0

02 Feb 2024

Fast Dual-Regularized Autoencoder for Sparse Biological Data

Fast Dual-Regularized Autoencoder for Sparse Biological Data

Aleksandar Poleksic

215

1

0

30 Jan 2024

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models

Amparo Alonso-Betanzos

Bertha Guijarro-Berdiñas

Carlos Eiras-Franco

681

5

0

19 Jan 2024

Revisiting Recommendation Loss Functions through Contrastive Learning
(Technical Report)

Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)

277

6

0

13 Dec 2023

(Debiased) Contrastive Learning Loss for Recommendation (Technical
Report)

(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)

275

0

0

13 Dec 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable
Cross-Interactions for Recommendation

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023

Jieming Zhu

Zhou Zhao

Ruiming Tang

200

23

0

30 Nov 2023

A Social-aware Gaussian Pre-trained Model for Effective Cold-start
Recommendation

A Social-aware Gaussian Pre-trained Model for Effective Cold-start RecommendationInformation Processing & Management (IPM), 2023

Craig Macdonald

249

14

0

27 Nov 2023

To Copy, or not to Copy; That is a Critical Issue of the Output Softmax
Layer in Neural Sequential Recommenders

To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential RecommendersWeb Search and Data Mining (WSDM), 2023

Haw-Shiuan Chang

Andrew McCallum

211

11

0

21 Oct 2023

Robust Collaborative Filtering to Popularity Distribution Shift

Robust Collaborative Filtering to Popularity Distribution Shift

349

40

0

16 Oct 2023

Factual and Personalized Recommendations using Language Models and
Reinforcement Learning

Factual and Personalized Recommendations using Language Models and Reinforcement Learning

Guy Tennenholtz

Azamat Tulepbergenov

Mohammad Ghavamzadeh

Craig Boutilier

342

6

0

09 Oct 2023

On the Embedding Collapse when Scaling up Recommendation Models

On the Embedding Collapse when Scaling up Recommendation ModelsInternational Conference on Machine Learning (ICML), 2023

Ximei Wang

387

51

0

06 Oct 2023

TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation

TDCGL: Two-Level Debiased Contrastive Graph Learning for RecommendationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023

165

0

0

01 Oct 2023

Popularity Degradation Bias in Local Music Recommendation

Popularity Degradation Bias in Local Music Recommendation

Douglas Turnbull

98

2

0

20 Sep 2023

Neuro-Symbolic Recommendation Model based on Logic Query

Neuro-Symbolic Recommendation Model based on Logic QueryKnowledge-Based Systems (KBS), 2023

229

8

0

14 Sep 2023

Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Giovanni Maria Biancofiore

Vito Walter Anelli

Fedelucio Narducci

Tommaso Di Noia

397

49

0

07 Sep 2023

Page 1 of 3