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Adapting Job Recommendations to User Preference Drift with
  Behavioral-Semantic Fusion Learning

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning

24 June 2024
Xiao Han
Chen Zhu
Xiao Hu
Chuan Qin
Xiangyu Zhao
Hengshu Zhu
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning"

16 / 16 papers shown
Title
Exploring Large Language Model for Graph Data Understanding in Online
  Job Recommendations
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Likang Wu
Zhaopeng Qiu
Zhi Zheng
Hengshu Zhu
Enhong Chen
53
82
0
10 Jul 2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
Chuan Qin
Le Zhang
Yihang Cheng
Rui Zha
Dazhong Shen
...
Xi Chen
Ying Sun
Chen Zhu
Hengshu Zhu
Hui Xiong
67
41
0
03 Jul 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for
  Sequential Recommendation
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
Yizhou Dang
Enneng Yang
G. Guo
Linying Jiang
Xingwei Wang
Xiaoxiao Xu
Qinghui Sun
Hong Liu
AI4TS
60
52
0
16 Dec 2022
Recent Advances in Heterogeneous Relation Learning for Recommendation
Recent Advances in Heterogeneous Relation Learning for Recommendation
Chao Huang
99
32
0
07 Oct 2021
Contrastive Self-supervised Sequential Recommendation with Robust
  Augmentation
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu
Yong-Guang Chen
Jia Li
Philip S. Yu
Julian McAuley
Caiming Xiong
44
169
0
14 Aug 2021
Heterogeneous Global Graph Neural Networks for Personalized
  Session-based Recommendation
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Yitong Pang
Lingfei Wu
Qi Shen
Yiming Zhang
Zhihua Wei
Fangli Xu
Ethan Chang
Bo Long
Jian Pei
84
113
0
08 Jul 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely
  and Noisily Labeled Graphs
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
85
120
0
08 Jun 2021
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
191
3,674
0
06 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
83
502
0
28 Jan 2020
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
187
2,991
0
20 May 2019
Embarrassingly Shallow Autoencoders for Sparse Data
Embarrassingly Shallow Autoencoders for Sparse Data
Harald Steck
168
257
0
08 May 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDLHAI
191
2,181
0
14 Apr 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
248
3,184
0
19 Feb 2019
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
88
411
0
18 Apr 2018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement
  Learning
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Xiangyu Zhao
Li Zhang
Zhuoye Ding
Long Xia
Jiliang Tang
Dawei Yin
92
335
0
19 Feb 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
183
1,243
0
16 Feb 2018
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