LLM for Job Recommendation - Literature Survey

LLM和职位推荐（Job Recommendation）相关的论文

Index

• BSAELINE——Session-based Framework: BISTRO
• LLM for Job Recommendation
• Recommendation Surveys
• Recommendation Technology
• LLM Technology
• Classification of papers

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BASELINE Session-based Framework: BISTRO

#	论文标题	作者	单位	年份	会议/期刊	论文内容	论文链接	代码
1	Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning	Xiao Han et al.	City University of Hong Kong	2024	KDD	BISTRO	DOI	Github

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LLM for Job Recommendation

#	论文标题	作者	单位	年份	会议/期刊	论文内容	论文链接	代码
1	Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks	Yingpeng Du et al.	Nanyang Technological University	2024	AAAI	LGIR	DOI	-
2	Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations	Likang Wu et al.	University of Science and Technology of China	2024	AAAI	GLRec	DOI	Github
3	Generative Job Recommendations with Large Language Model	Zhi Zheng et al.	Career Science Lab, BOSS Zhipin	2023	Preprint	GIRL	arXiv	-
4	HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation	Azmine Toushik Wasi	Shahjalal University of Science and Technology	2024	ACL Workshop KaLLM	HRGraph	DOI	Github
5	Leveraging LLM generated labels to reduce bad matches in job recommendations	Yingchi Pei et al.	Indeed	2024	ACM RecSys	eBadMatch	DOI	-

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Recommendation Surveys

#	论文标题	作者	单位	年份	会议/期刊	论文内容	论文链接	代码	分析链接
1	A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields	Hyeyoung Ko et al.	Seoul Women’s University	2022	Electronics	Survey	DOI	-	-
2	A survey on large language models for recommendation	Likang Wu et al.	University of Science and Technology of China	2024	WWW	Survey	DOI	LLM4Rec	-
3	A Survey on Skill Identification From Online Job Ads	IMANE KHAOUJA et al.	ENSIAS, Mohammed V University	2021	IEEE Access	Survey	DOI	-	-
4	Graph Neural Networks in Recommender Systems: A Survey	Wu et al.	Peking University	2022	CSUR	Survey	DOI	Github	知乎

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Recommendation Technology

#	论文标题	作者	单位	年份	会议/期刊	论文内容	论文链接	代码	分析链接
1	Content-based Recommender Systems: State of the Art and Trends	Lops et al.	University of Bari “Aldo Moro”	2011	Recommender Systems Handbook (Book)	Content-based	DOI	-	-
2	Item-based collaborative filtering recommendation algorithms	Sarwar et al.	University of Minnesota	2001	WWW	CF	DOI	-	CSDN
3	Matrix Factorization Techniques for Recommender Systems	Koren et al.	Yahoo Research	2009	COMPUTER	MF	DOI	Github	知乎
4	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation	Xia et al.	The University of Queensland	2021	AAAI	DHCN	DOI	Github	CSDN
5	Unsupervised Learning by Probabilistic Latent Semantic Analysis	THOMAS HOFMANN	Brown University	2001	Machine Learning	PLSA	DOI	-	-
6	Variational Autoencoders for Collaborative Filtering	Liang et al.	Netflix	2018	WWW	MultVAE	arXiv	Github	-
7	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	He et al.	University of Science and Technology of China	2020	ACM SIGIR	LightGCN	DOI	Github	-
8	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation	Pang et al.	Tongji University	2022	ACM WSDM	HG-GNN	DOI	Github	-
9	Session-based Recommendations with Recurrent Neural Networks	Hidasi et al.	Gravity R&D Inc.	2015	Preprint(ICLR)	GRU4Rec	DOI	Github	-
10	BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer	Sun et al.	Alibaba Group	2019	ACM CIKM	BERT4Rec	DOI	Github	-

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LLM Technology

#	论文标题	作者	单位	年份	会议/期刊	论文内容	论文链接	代码	分析链接
1	BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation	Chen et al.	BAAI	2024	ACL	BGE-M3	DOI	Github	知乎

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Classification of papers

• 代码：若论文未开源代码，标记为-