Powered by Engineering Brain, Japan | What is PKV? | PKV Methodology | KnowledgeRank v6.0.0: Earn Points for Reviews and Feature Your Paper in the Rankings

ACM Transactions on Information Systems - Volume 43 / Issue 3

Title
Authors Volume Issue Page Year PKV
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems
Junjie Zhang, Wenqi Sun, Yupeng Hou, Xin Zhao, Ji-Rong Wen 43 3 1–31 2025 10.88
Average Rating: 0.0 / 5 (0 Reviews)
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
Zunlong Liu, Yang Xu, Gao Cong, Lei Zhu, Qinjun Qiu, Huaxiang Zhang 43 3 1–30 2025 10.88
Average Rating: 0.0 / 5 (0 Reviews)
Vague Preference Policy Learning for Conversational Recommendation
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Lingfei Wu 43 3 1–27 2025 11.88
Average Rating: 0.0 / 5 (0 Reviews)
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
Jinyu Zhang, Chao Li, Zhongying Zhao 43 3 1–25 2025 8.9
Average Rating: 0.0 / 5 (0 Reviews)
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou 43 3 1–62 2025 7.9
Average Rating: 0.0 / 5 (0 Reviews)
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang 43 3 1–28 2025 10.94
Average Rating: 0.0 / 5 (0 Reviews)
Using Chao’s Estimator as a Stopping Criterion for Technology-Assisted Review
Michiel Bron, Peter G. M. van der Heijden, Ad Feelders, Arno Siebes 43 3 1–51 2025 7.94
Average Rating: 0.0 / 5 (0 Reviews)
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang 43 3 1–32 2025 12.9
Average Rating: 0.0 / 5 (0 Reviews)