---
title: "ACM Transactions on Information Systems 2024 — papers"
description: "ACM Transactions on Information Systems 2024 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/2024/"
---
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# ACM Transactions on Information Systems 2024 — papers

The works of ACM Transactions on Information Systems published in 2024 that our library holds: 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**131** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/2024/#works) · [**276** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/)**Lei Huang, Weijiang Yu, Weitao Ma et al.*2,379 citations · our summary*
2. **[How Can Recommender Systems Benefit from Large Language Models: A Survey ↗](https://doi.org/10.1145/3678004)**Jianghao Lin, Xinyi Dai, Yunjia Xi et al.*233 citations*
3. **[Causal Inference in Recommender Systems: A Survey and Future Directions ↗](https://doi.org/10.1145/3639048)**Chen Gao, Yu Zheng, Wenjie Wang et al.*147 citations*
4. **[Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach ↗](https://doi.org/10.1145/3708882)**Junjie Zhang, Ruobing Xie, Yupeng Hou et al.*135 citations*
5. **[CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models ↗](https://doi.org/10.1145/3701228)**Yuanjie Lyu, Zhiyu Li, Simin Niu et al.*104 citations*
6. **[Federated Recommender System Based on Diffusion Augmentation and Guided Denoising ↗](https://doi.org/10.1145/3688570)**Yicheng Di, Hongjian Shi, Xiaoming Wang et al.*101 citations*
7. **[A Survey on Recommender Systems Using Graph Neural Network ↗](https://doi.org/10.1145/3694784)**Vineeta Anand, Ashish Kumar Maurya*78 citations*
8. **[Unsupervised Social Bot Detection via Structural Information Theory ↗](https://doi.org/10.1145/3660522)**Hao Peng, Jingyun Zhang, Xiang Huang et al.*74 citations*
9. **[Contrastive Clustering Learning for Multi-Behavior Recommendation ↗](https://doi.org/10.1145/3698192)**Wei Lan, Guoxian Zhou, Qingfeng Chen et al.*64 citations*
10. **[User Behavior Simulation with Large Language Model-based Agents ↗](https://doi.org/10.1145/3708985)**Lei Wang, Jingsen Zhang, Hao Yang et al.*57 citations*

## All works of the year (131)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/)**Lei Huang, Weijiang Yu, Weitao Ma et al.*2,379 citations · our summary*
2. **[How Can Recommender Systems Benefit from Large Language Models: A Survey ↗](https://doi.org/10.1145/3678004)**Jianghao Lin, Xinyi Dai, Yunjia Xi et al.*233 citations*
3. **[Causal Inference in Recommender Systems: A Survey and Future Directions ↗](https://doi.org/10.1145/3639048)**Chen Gao, Yu Zheng, Wenjie Wang et al.*147 citations*
4. **[Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach ↗](https://doi.org/10.1145/3708882)**Junjie Zhang, Ruobing Xie, Yupeng Hou et al.*135 citations*
5. **[CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models ↗](https://doi.org/10.1145/3701228)**Yuanjie Lyu, Zhiyu Li, Simin Niu et al.*104 citations*
6. **[Federated Recommender System Based on Diffusion Augmentation and Guided Denoising ↗](https://doi.org/10.1145/3688570)**Yicheng Di, Hongjian Shi, Xiaoming Wang et al.*101 citations*
7. **[A Survey on Recommender Systems Using Graph Neural Network ↗](https://doi.org/10.1145/3694784)**Vineeta Anand, Ashish Kumar Maurya*78 citations*
8. **[Unsupervised Social Bot Detection via Structural Information Theory ↗](https://doi.org/10.1145/3660522)**Hao Peng, Jingyun Zhang, Xiang Huang et al.*74 citations*
9. **[Contrastive Clustering Learning for Multi-Behavior Recommendation ↗](https://doi.org/10.1145/3698192)**Wei Lan, Guoxian Zhou, Qingfeng Chen et al.*64 citations*
10. **[User Behavior Simulation with Large Language Model-based Agents ↗](https://doi.org/10.1145/3708985)**Lei Wang, Jingsen Zhang, Hao Yang et al.*57 citations*
11. **[MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation ↗](https://doi.org/10.1145/3640810)**Yunshan Ma, Yingzhi He, Xiang Wang et al.*42 citations*
12. **[Privacy-preserving Cross-domain Recommendation with Federated Graph Learning ↗](https://doi.org/10.1145/3653448)**Changxin Tian, Yuexiang Xie, Xu Chen et al.*41 citations*
13. **[Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs ↗](https://doi.org/10.1145/3696417)**Xi Zhu, Fake Lin, Ziwei Zhao et al.*36 citations*
14. **[Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines ↗](https://doi.org/10.1145/3641276)**John Patrick Lalor, Ahmed Abbasi, Kezia Oketch et al.*33 citations*
15. **[A Unified Framework for Multi-Domain CTR Prediction via Large Language Models ↗](https://doi.org/10.1145/3698878)**Zichuan Fu, Xiangyang Li, Chuhan Wu et al.*31 citations*
16. **[Collaborative Sequential Recommendations via Multi-view GNN-transformers ↗](https://doi.org/10.1145/3649436)**Tianze Luo, Yong Liu, Sinno Jialin Pan*31 citations*
17. **[Counterfactual Explanation for Fairness in Recommendation ↗](https://doi.org/10.1145/3643670)**Xiangmeng Wang, Qian Li, Dianer Yu et al.*31 citations*
18. **[Average User-Side Counterfactual Fairness for Collaborative Filtering ↗](https://doi.org/10.1145/3656639)**Pengyang Shao, Le Wu, Kun Zhang et al.*30 citations*
19. **[When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs ↗](https://doi.org/10.1145/3702639)**Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin et al.*30 citations*
20. **[RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation ↗](https://doi.org/10.1145/3705728)**Sichun Luo, Bowei He, Haohan Zhao et al.*27 citations*
21. **[Post-Training Attribute Unlearning in Recommender Systems ↗](https://doi.org/10.1145/3701987)**Chaochao Chen, Yizhao Zhang, Yuyuan Li et al.*26 citations*
22. **[A Noise-Oriented and Redundancy-Aware Instance Selection Framework ↗](https://doi.org/10.1145/3705000)**Washington Luiz Miranda da Cunha, Alejandro Moreo, Andrea Esuli et al.*23 citations*
23. **[FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services ↗](https://doi.org/10.1145/3709138)**Wei Yuan, Chaoqun Yang, Guanhua Ye et al.*23 citations*
24. **[RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation ↗](https://doi.org/10.1145/3679200)**Weibin Liao, Yifan Zhu, Yanyan Li et al.*23 citations*
25. **[MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation ↗](https://doi.org/10.1145/3664651)**Jingmin An, Ming Yu Gao, Jiafu Tang*22 citations*

[See all 131 papers in ACM Transactions on Information Systems 2024 — papers →](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/2024/papers/)

## Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Graph Retrieval-Augmented Generation: A Survey](https://md.research.elamur.ai/free/en/papers/peng-2024-graph-retrieval-augmented-generation-survey/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Boci Peng, Yun Zhu, Yongchao Liu, et al.*2024 · 276 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Boci Peng**1 work here · 276 citations](https://md.research.elamur.ai/free/en/authors/boci-peng/) · [🧑‍🔬**Haizhou Shi**1 work here · 276 citations](https://md.research.elamur.ai/free/en/authors/haizhou-shi/) · [🧑‍🔬**Siliang Tang**1 work here · 276 citations](https://md.research.elamur.ai/free/en/authors/siliang-tang/) · [🧑‍🔬**Yan Zhang**1 work here · 276 citations](https://md.research.elamur.ai/free/en/authors/yan-zhang/) · [🧑‍🔬**Yun Zhu**1 work here · 276 citations](https://md.research.elamur.ai/free/en/authors/yun-zhu/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Rutgers, The State University of New Jersey** New Brunswick · United States 1 work here](https://md.research.elamur.ai/free/en/universities/rutgers-the-state-university-of-new-jersey/) · [🎓**Peking University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Ant Group** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Zhejiang University** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Renmin University of China** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/)

works and citations from OpenAlex and our library.

- [← previous ACM Transactions on Information Systems 2023](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/2023/)
- [↑ back to ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)
