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Geological and Mining Engineering

Geological and Mining Engineering (GME), published by Scineer Publishing PTE. LTD, is an open-access journal. GME is devoted to publish geological and mining engineering related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on geological and mining engineering throughout the world. GME welcomes all original

ISSN: 3029-1887(P)

3029-2034(O)

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Food Safety and Quality

Food Safety and Quality (FSQ), published by Scineer Publishing PTE. LTD, is an open-access journal. FSQ is devoted to publish food safety and quality related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on food safety and quality throughout the world. FSQ welcomes all original manuscripts that do not be published in any other journals.

ISSN: 3029-2115(P)

3029-2123(O)

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Hydraulic Engineering and Power Research

Hydraulic Engineering and Power Research (HEPR), published by Scineer Publishing PTE. LTD, is an open-access journal. HEPR is devoted to publish hydraulic engineering and power related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on hydraulic engineering and power throughout the world. HEPR welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â ISSN: 3029-2158(P)

Â Â Â Â Â Â Â Â Â 3029-2166(O)

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Medical and Health Research

Medical and Health Research (MHR), published by Scineer Publishing PTE. LTD, is an open-access journal. MHR is devoted to publish medicine related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on medicine throughout the world. MHR welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â ISSN: 3029-2190(P)

Â Â Â Â Â Â Â Â Â 3029-2204(O)

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Practical Medical Research

Practical Medical Research (PMR), published by Scineer Publishing PTE. LTD, is an open-access journal. PMR is devoted to publish medicine related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on medicine throughout the world. PMR welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â ISSN: 3029-2085(P)

Â Â Â Â Â Â Â Â Â Â 3029-2093(O)

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Forum on Research and Innovation Management

Forum on Research and Innovation Management (FRIM), published by Scineer Publishing PTE. LTD, is an open-access journal. FRIM is devoted to publish research and innovation management related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on research and innovation management throughout the world. FRIM welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â ISSN: 3029-1933(P)

Â Â Â Â Â Â Â Â Â 3029-1984(O)

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Construction Safety Technology and Management

Construction Safety Technology and Management (CSTM), published by Scineer Publishing PTE. LTD, is an open-access journal. CSTM is devoted to publish construction safety technology and management related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on construction safety technology and management throughout the world. CSTM welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â Â ISSN: 3029-2069(P)

Â Â Â Â Â Â Â Â Â Â Â 3029-2077(O)

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Industrial Technology Research

Industrial Technology Research (ITR), published by Scineer Publishing PTE. LTD, is an open-access journal. ITR is devoted to publish industrial technology related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on industrial technology throughout the world. ITR welcomes all original manuscripts that do not be published in any other journals.

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Â Â Â Â ISSN: 3029-1895(P)

Â Â Â Â Â Â Â Â Â Â 3029-2026(O)

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Environmental Protection and Health

Environmental Protection and Health (EPH), published by Scineer Publishing PTE. LTD, is an open-access journal. EPH is devoted to publish environmental protection and health related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on environmental protection and health throughout the world. EPH welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â ISSN: 3029-1909(P)

Â Â Â Â Â Â Â Â Â 3029-2018(O)

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Artificial Intelligence Technology Research

Artificial Intelligence Technology Research (AITR), published by Scineer Publishing PTE. LTD, is an open-access journal. AITR is devoted to publish artificial intelligence technology related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on artificial intelligence technology throughout the world. AITR welcomes all original manuscripts that do not be published in any other journals.Â

Â Â Â Â ISSN: 3029-1968(O)

Â Â Â Â Â Â Â Â Â 3029-195X(P)
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Curriculum Learning and Exploration

Curriculum Learning and Exploration (CLE), published by Scineer Publishing PTE. LTD, is an open-access journal. CLE is devoted to publish curriculum related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on curriculum throughout the world. CLE welcomes all original manuscripts that do not be published in any other journals.Â

Â Â Â Â ISSN: 3029-1976(O)

Â Â Â Â Â Â Â Â Â 3029-1941(P)
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Evaluation of Educational Research

Evaluation of Educational Research (EER), published by Scineer Publishing PTE. LTD, is an open-access journal. EER is devoted to publish education related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on education throughout the world. EER welcomes all original manuscripts that do not be published in any other journals.

Â Â Â Â ISSN: 3029-1992(O)

Â Â Â Â Â Â Â Â Â 3029-1925(P)
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World Education Forum

World Education Forum (WEF), published by Scineer Publishing PTE. LTD, is an open-access journal. WEF is devoted to publish education related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on education throughout the world. WEF welcomes all original manuscripts that do not be published in any other journals.

Â Â Â Â ISSN: 3029-214X(O)

Â Â Â Â Â Â Â Â Â 3029-2131(P)

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New Explorations in Education and Teaching

New Explorations in Education and Teaching (NEET), published by Scineer Publishing PTE. LTD, is an open-access journal. NEET is devoted to publish education related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on education throughout the world. NEET welcomes all original manuscripts that do not be published in any other journals.Â

Â Â Â Â ISSN: 3029-200X(O)

Â Â Â Â Â Â Â Â Â 3029-1917(P)

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Modern Economic Management Forum

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Modern Economic Management Forum (MEMF), published by Scineer Publishing PTE. LTD, is an open-access journal. MEMF is devoted to publish modern economic management related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on economic management throughout the world. MEMF welcomes all original manuscripts that do not be published in any other journals.Â

Â Â Â Â ISSN: 3029-2182(O)

Â Â Â Â Â Â Â Â Â 3029-2174(P)

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Research and Commentary on Humanities and Arts

Research and Commentary on Humanities and ArtsÂ (RCHA), published by Scineer Publishing PTE. LTD, is an open-access journal. RCHA is devoted to publish humanities and arts related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on humanities and arts throughout the world. RCHA welcomes all original manuscripts that do not be published in any other journals.Â

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Â Â Â Â Â Â ISSN: 3029-2050(O)

Â Â Â Â Â Â Â Â Â Â Â 3029-2042(P)

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Scineer Publishing is a publisher of open access journals. Covering various disciplines and promoting interdisciplinary development, Scineer Publishing adheres to a principle of respecting academics, and publishes insightful and rigorous academic research contents.

12 Eu Tong Sen Street, #07-168, Singapore 059819

E-mail: scineerpub@126.com

Copyright © 2023 Scineer Publishing Pte. Ltd.

A Multi-Agent Collaborative Framework for Denoising Sequential Recommendation

Ding Ai

Abstract

In open environments, interaction data are often contaminated with noisy behaviors that obscure genuine user preferences, leading
to degraded performance in sequential recommenders. Traditional denoising or robust training methods usually rely on pre-defined anomaly
types or extensive supervised signals, which limit their adaptability to unseen or complex data distributions. To address this limitation, we propose a Multi-Agent Collaborative Framework for Denoising Sequential Recommendation (MACDSR for short), which enables adaptive noise
detection through interactive reasoning among agents without requiring prior noise annotation or pre-training. Specifically, MACDSR consists
of three agents with distinct roles: a support agent that argues for the presence of noise in a user sequence, an oppose agent that argues against
it, and a judge agent that synthesizes their arguments to determine which items are likely noisy. This collaborative process allows the framework to dynamically identify and filter out unreliable interactions, thereby producing cleaner input for downstream recommendation models.
By integrating multi-agent reasoning with large language models (LLMs), MACDSR provides a generalized and training-free solution for
denoising sequential recommendation. Experiments on multiple benchmark datasets demonstrate that MACDSR consistently enhances recommendation robustness and accuracy under noisy conditions.

Keywords

Multi-Agent Collaboration; Denoising Sequential Recommendation; Large Language Model

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References

[1] Mao W, Liu S, Liu H, et al. Distinguished quantized guidance for diffusion-based sequence recommendation[C]//Proceedings of the

ACM on Web Conference 2025. 2025: 425-435.

[2] Tian C, Hu B, Zhao W X, et al. Periodicity may be emanative: Hierarchical contrastive learning for sequential recommendation[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023: 2442-2451.

[3] Zhang C, Du Y, Zhao X, et al. Hierarchical item inconsistency signal learning for sequence denoising in sequential recommendation[C]//

Proceedings of the 31st ACM international conference on information & knowledge management. 2022: 2508-2518.

[4] Zhang S, Yin H, Chen T, et al. Gcn-based user representation learning for unifying robust recommendation and fraudster detection[C]//

Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. 2020: 689-698.

[5] Lin Y, Wang C, Chen Z, et al. A self-correcting sequential recommender[C]//Proceedings of the ACM Web Conference 2023. 2023:

1283-1293.

[6] Sun Y, Yang X, Sun Z, et al. Berd+: A generic sequential recommendation framework by eliminating unreliable data with item-and

attribute-level signals[J]. ACM Transactions on Information Systems, 2023, 42(2): 1-33.

[7] Zhou K, Yu H, Zhao W X, et al. Filter-enhanced MLP is all you need for sequential recommendation[C]//Proceedings of the ACM web

conference 2022. 2022: 2388-2399.

[8] Xie X, Sun F, Liu Z, et al. Contrastive learning for sequential recommendation[C]//2022 IEEE 38th international conference on data engineering (ICDE). IEEE, 2022: 1259-1273.

[9] Wang Y, Jiang Z, Chen Z, et al. Recmind: Large language model powered agent for recommendation[C]//Findings of the Association for

Computational Linguistics: NAACL 2024. 2024: 4351-4364.

[10] Wang Z, Yu Y, Zheng W, et al. Macrec: A multi-agent collaboration framework for recommendation[C]//Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2024: 2760-2764.

[11] Wang Z, Gao M, Yu J, et al. RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents[J].

arXiv preprint arXiv:2503.23374, 2025.

[12] Zhang J, Hou Y, Xie R, et al. Agentcf: Collaborative learning with autonomous language agents for recommender systems[C]//Proceedings of the ACM Web Conference 2024. 2024: 3679-3689.

[13] Tong X, Wang P, Li C, et al. Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation[C]//IJCAI. 2021:

1593-1599.

[14] Sun Y, Yang X, Sun Z, et al. LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2025, 39(12): 12604-12612.

[15] Zhang C, Han Q, Chen R, et al. Ssdrec: Self-augmented sequence denoising for sequential recommendation[C]//2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024: 803-815.

DOI: http://dx.doi.org/10.70711/aitr.v3i5.8351

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Scineer Publishing is a publisher of open access journals. Covering various disciplines and promoting interdisciplinary development, Scineer Publishing adheres to a principle of respecting academics, and publishes insightful and rigorous academic research contents.

12 Eu Tong Sen Street, #07-168, Singapore 059819

E-mail: scineerpub@126.com

Copyright © 2023 Scineer Publishing Pte. Ltd.