README.md

Awesome_in_Deep_Matching

Here, we are concentrate on collection of research papers relate to the deep matching issues in multiple fields.

Table of Contents

• Review on Deep Matching
• Person_Job_Matching_Recommendation
• High Potential Talent Matching
• Fasion_Recommendation
• Tutorials and Workshops

Review_on_Deep_Matching

• 漫谈语义相似度, 2020.

Person_Job_Matching_Recommendation

• Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong, An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment, In ACM Transactions on Information Systems, 2020, 38(2):15.

• Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020.

• Learning Effective Representations for Person-Job Fit by Feature Fusion. CIKM 2020

• Interview choice reveals your preference on the market: To improve job-resume matching through profiling memories. KDD 2019.

• A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. KDD 2019.

• DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019.

• Enhancing person-job fit for talent recruitment: An ability-aware neural network approach. SIGIR 2018.

• Le Ran, Zhang Tao,Hu Wenpeng, Zhao Dongyan, Song Yang, Yan Rui, Towards Effective and Interpretable Person-Job Fitting. CIKM 2019.

• Person-Job Fit：Adapting the Right Talent for the Right Job with Joint Representation Learning. ACM Transactions on Management Information Systems 2018.

• Domain adaptation for person-job fit with transferable deep global match network. EMNLP 2019.

• Resumegan: An optimized deep representation learning framework for talent-job fit via adversarial learning. CIKM 2019.

• Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations. RecSys 2019.

• Explaining and exploring job recommendations: A user-driven approach for interacting with knowledge-based job recommender systems. RecSys 2019.

• A Combined Representation Learning Approach for Better Job and Skill Recommendation. CIKM 2018.

• User click prediction for personalized job recommendation. World Wide Web 2018.

• How to get them a dream job?: Entity-aware features for personalized job search ranking. KDD 2016.

High_Potential_Talent_Matching

1. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, and Enhong Chen. Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020. [中科大徐童：AI×Talent数据驱动的智能人才计算]

2. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, and Enhong Chen. Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach. ICDM 2019.

KDD 2020顶会论文:如何为临床试验匹配最合适的患者？ 2020.

基于多视图协作学习的人岗匹配研究 | CIKM 2020.

Fasion_Recommendation

1. Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, and Tat-Seng Chua. Interpretable Fashion Matching with Rich Attributes. SIGIR 2019.

Tutorials_and_Workshops

1. 【The first international workshop on deep matching in practical applications】