Knowledge Transfer via Pre-training for Recommendation: A Review and
Prospect

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

19 September 2020

Chaojun Xiao

Maosong Sun

Papers citing "Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect"

7 / 7 papers shown

Title
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Min Zhang LM&MA AILaw 107 155 0 28 Jan 2025
A Survey on Large Language Models for Recommendation Likang Wu Zhilan Zheng Zhaopeng Qiu Hao Wang Hongchao Gu ... Chen Zhu Hengshu Zhu Qi Liu Hui Xiong Enhong Chen 53 359 0 31 May 2023
Parameter-free Dynamic Graph Embedding for Link Prediction Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu 26 13 0 15 Oct 2022
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation Aleksandr V. Petrov Craig Macdonald 30 45 0 15 Jul 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 12 78 0 20 Mar 2022
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Qi Ju Haotang Deng Ping Wang 231 777 0 17 Sep 2019