OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts
Zhengyi Yang, Xiangnan He, Jizhi Zhang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 331-340
Closed Access | Times Cited: 20
Zhengyi Yang, Xiangnan He, Jizhi Zhang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 331-340
Closed Access | Times Cited: 20
Showing 20 citing articles:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang, et al.
(2023), pp. 1007-1014
Open Access | Times Cited: 110
Keqin Bao, Jizhi Zhang, Yang Zhang, et al.
(2023), pp. 1007-1014
Open Access | Times Cited: 110
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 4, pp. 1-26
Open Access | Times Cited: 27
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 4, pp. 1-26
Open Access | Times Cited: 27
Distributionally Robust Graph-based Recommendation System
Bohao Wang, Jiawei Chen, Changdong Li, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3777-3788
Open Access | Times Cited: 11
Bohao Wang, Jiawei Chen, Changdong Li, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3777-3788
Open Access | Times Cited: 11
Item-side Fairness of Large Language Model-based Recommendation System
Meng Jiang, Keqin Bao, Jizhi Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4717-4726
Open Access | Times Cited: 8
Meng Jiang, Keqin Bao, Jizhi Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4717-4726
Open Access | Times Cited: 8
LLaRA: Large Language-Recommendation Assistant
Jiayi Liao, Sihang Li, Zhengyi Yang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1785-1795
Open Access | Times Cited: 7
Jiayi Liao, Sihang Li, Zhengyi Yang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1785-1795
Open Access | Times Cited: 7
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
Wei Ji, X. H. Liu, An Zhang, et al.
(2023), pp. 955-965
Open Access | Times Cited: 11
Wei Ji, X. H. Liu, An Zhang, et al.
(2023), pp. 955-965
Open Access | Times Cited: 11
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
Yuhao Yang, Lianghao Xia, Da Luo, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3690-3699
Open Access | Times Cited: 4
Yuhao Yang, Lianghao Xia, Da Luo, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3690-3699
Open Access | Times Cited: 4
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Keqin Bao, Jizhi Zhang, Wenjie Wang, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
Keqin Bao, Jizhi Zhang, Wenjie Wang, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
MVCSR: Multi-view Contrastive Sequential Recommendation
Kai Wai Lee, Xiaoliang Wu, Junfeng Zhao, et al.
Lecture notes in electrical engineering (2025), pp. 93-104
Closed Access
Kai Wai Lee, Xiaoliang Wu, Junfeng Zhao, et al.
Lecture notes in electrical engineering (2025), pp. 93-104
Closed Access
Generalizable Recommender System During Temporal Popularity Distribution Shifts
Hyunsik Yoo, Ruizhong Qiu, Caizhi Xu, et al.
(2025), pp. 1833-1843
Closed Access
Hyunsik Yoo, Ruizhong Qiu, Caizhi Xu, et al.
(2025), pp. 1833-1843
Closed Access
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
Chu Zhao, Enneng Yang, Yuliang Liang, et al.
(2025), pp. 2018-2031
Closed Access
Chu Zhao, Enneng Yang, Yuliang Liang, et al.
(2025), pp. 2018-2031
Closed Access
Stability-aware Preference Modeling for Sequential Recommendation
C. M. Wei, Wenjun Jiang, Kenli Li, et al.
ACM Transactions on the Web (2025)
Closed Access
C. M. Wei, Wenjun Jiang, Kenli Li, et al.
ACM Transactions on the Web (2025)
Closed Access
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1816-1826
Open Access | Times Cited: 3
Xinyu Lin, Wenjie Wang, Yongqi Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1816-1826
Open Access | Times Cited: 3
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
Jiyuan Yang, Yue Ding, Yidan Wang, et al.
(2024), pp. 882-890
Open Access | Times Cited: 1
Jiyuan Yang, Yue Ding, Yidan Wang, et al.
(2024), pp. 882-890
Open Access | Times Cited: 1
Dgt: Unbiased Sequential Recommendation Via Disentangled Graph Transformer
Chenglin Li, Tao Xie, Chenyun Yu, et al.
(2024)
Closed Access
Chenglin Li, Tao Xie, Chenyun Yu, et al.
(2024)
Closed Access
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks
Jiaye Lin, Shuang Peng, Zhong Zhang, et al.
(2024), pp. 1119-1124
Open Access
Jiaye Lin, Shuang Peng, Zhong Zhang, et al.
(2024), pp. 1119-1124
Open Access
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
Cui Yu, Feng Liu, P. Wang, et al.
(2024), pp. 507-517
Open Access
Cui Yu, Feng Liu, P. Wang, et al.
(2024), pp. 507-517
Open Access
Leveraging Large Language Models Knowledge Enhancement Dual-Stage Fine-Tuning Framework for Recommendation
Biqing Zeng, Hao Shi, Yangyu Li, et al.
Lecture notes in computer science (2024), pp. 333-345
Closed Access
Biqing Zeng, Hao Shi, Yangyu Li, et al.
Lecture notes in computer science (2024), pp. 333-345
Closed Access
Sequential recommendation by reprogramming pretrained transformer
Min Tang, Shujie Cui, Zhe Jin, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103938-103938
Closed Access
Min Tang, Shujie Cui, Zhe Jin, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103938-103938
Closed Access
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems
Luciano Caroprese, Francesco Sergio Pisani, Bruno Veloso, et al.
ACM Transactions on Recommender Systems (2024)
Open Access
Luciano Caroprese, Francesco Sergio Pisani, Bruno Veloso, et al.
ACM Transactions on Recommender Systems (2024)
Open Access
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang, et al.
arXiv (Cornell University) (2023)
Open Access
Keqin Bao, Jizhi Zhang, Yang Zhang, et al.
arXiv (Cornell University) (2023)
Open Access
