Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation

Multi-task feature learning for knowledge graph enhanced recommendation

Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2019a · 2010

Earlier work this paper cites.

Justifying recommendations using distantly-labeled reviews and fine-grained aspects

Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019

Earlier work this paper cites.

Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019

Earlier work this paper cites.

A survey on knowledge graph-based recommender systems

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. 2020 · 2020

Earlier work this paper cites.

Contrastive learning for cold-start recommendation

Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, and Tat-Seng Chua. 2021 · 2021

Earlier work this paper cites.

Towards universal sequence representation learning for recommender systems

Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, and Ji-Rong Wen. 2022 · 2022

Cited alongside, same era.

Aligning distillation for cold-start item recommendation

Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, and Hao Chen. 2023 · 2023

Cited alongside, same era.

Large language models are competitive near cold-start recommenders for language-and item-based preferences

Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, and Lucas Dixon. 2023 · 2023

Cited alongside, same era.

Large language models are zero-shot rankers for recommender systems

Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. 2024 · 2024

Cited alongside, same era.

Temporally and distributionally robust optimization for cold-start recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, and Tat-Seng Chua. 2024 · 2024

Cited alongside, same era.

Kgat: Knowledge graph attention network for recommendation

Keyword-driven retrieval-augmented large language models for cold-start user recommendations

Hai-Dang Kieu, Minh-Duc Nguyen, Thanh-Son Nguyen, and Dung D Le. 2025 · 2025

Closest in time.

Taxonomy-guided zero-shot recommendations with llms

Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, S Yu Philip, and Kai Shu. 2025 · 2025

Closest in time.

How can recommender systems benefit from large language models: A survey

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, and 1 others. 2025 · 2025

Closest in time.

Cold-start recommendation towards the era of large language models (llms): A comprehensive survey and roadmap

Original

Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, and 1 others. 2025 · 2025

Closest in time.