Embedding in Recommender Systems: A Survey

Embedding in Recommender Systems: A Survey

28 October 2023

Xiangyu Zhao

Papers citing "Embedding in Recommender Systems: A Survey"

8 / 8 papers shown

Title
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation Qidong Liu Xiangyu Zhao Yejing Wang Zijian Zhang Howard Zhong Chong Chen X. Li Wei Huang Feng Tian AI4TS 17 0 0 25 Apr 2025
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System Yunfan Gao Tao Sheng Youlin Xiang Yun Xiong Haofen Wang Jiawei Zhang RALM KELM 110 242 0 25 Mar 2023
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 168 324 0 03 Mar 2022
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 80 326 0 14 Feb 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 52 82 0 19 Jan 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 41 67 0 21 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013