Applying data mining techniques in job recommender system for considering candidate job preferences. | 2014 | ICACCI | Anika Gupta, Deepak Garg | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/icacci/GuptaG14 |
Hybrid job offer recommender system in a social network. | 2019 | Expert Syst. J. Knowl. Eng. | Alberto Rivas, Pablo Chamoso, Alfonso González-Briones, Roberto Casado-Vara, Juan Manuel Corchado | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/es/RivasCGCC19 |
JRDP - A Job Recommender System Based on Ontology for Disabled People. | 2019 | Int. J. Technol. Hum. Interact. | Saman Shishehchi, Seyed Yashar Banihashem | ○ | ● | ● | ● | ● | ○ | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/ijthi/ShishehchiB19 |
A smart Geo-Location Job Recommender System Based on Social Media Posts. | 2019 | SNAMS | Ala Mughaid, Ibrahim Obeidat, Bilal Hawashin, Shadi AlZu'bi, Darah Aqel | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/snams/MughaidOHAA19 |
Hybrid Information Filtering Engine for Personalized Job Recommender System. | 2018 | AMLTA | Islam A. Heggo, Nashwa Abdelbaki | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/amlta/HeggoA18 |
Document-based Recommender System for Job Postings using Dense Representations. | 2018 | NAACL-HLT | Ahmed Elsafty, Martin Riedl , Chris Biemann | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/naacl/ElsaftyRB18 |
Case-Based Reasoning and Agent Based Job Offer Recommender System. | 2018 | SOCO-CISIS-ICEUTE | Alfonso González-Briones, Alberto Rivas, Pablo Chamoso, Roberto Casado-Vara, Juan Manuel Corchado | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/softcomp/Gonzalez-Briones18 |
Hybrid immunizing solution for job recommender system. | 2017 | Frontiers Comput. Sci. | Shaha T. Al-Otaibi, Mourad Ykhlef | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/fcsc/Al-OtaibiY17 |
Temporal learning and sequence modeling for a job recommender system. | 2016 | RecSys Challenge | Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/LiuSKZN16 |
An ensemble method for job recommender systems. | 2016 | RecSys Challenge | Chenrui Zhang, Xueqi Cheng | ○ | ● | ● | ● | ● | ● | ○ | ● | ○ | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/ZhangC16 |
Exploration of methodologies to improve job recommender systems on social networks. | 2014 | Soc. Netw. Anal. Min. | Mamadou Diaby, Emmanuel Viennet, Tristan Launay | ○ | ● | ● | ● | ● | ● | ○ | ○ | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/snam/DiabyVL14 |
Taxonomy-based job recommender systems on Facebook and LinkedIn profiles. | 2014 | RCIS | Mamadou Diaby, Emmanuel Viennet | ○ | ● | ● | ● | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/rcis/DiabyV14 |
A Job Recommender System Based on User Clustering. | 2013 | J. Comput. | Wenxing Hong, Siting Zheng, Huan Wang, Jianchao Shi | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/jcp/HongZWS13 |
Job Recommendation based on Job Profile Clustering and Job Seeker Behavior. | 2020 | FNC/MobiSPC | D. Mhamdi, Reda Moulouki, Mohammed Yassine El Ghoumari, Mohamed Azouazi, L. Moussaid | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | https://dblp.org/rec/conf/fnc/MhamdiMGAM20 |
Job Recommendation through Progression of Job Selection. | 2019 | CCIS | Amber Nigam, Aakash Roy, Hartaran Singh, Harsimran Waila | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/ccis/NigamRSW19 |
Explaining and exploring job recommendations - a user-driven approach for interacting with knowledge-based job recommender systems. | 2019 | RecSys | Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ○ | ● | ● | ● | https://dblp.org/rec/conf/recsys/GutierrezCCHGV19 |
Job Recommendation Based on Job Seeker Skills - An Empirical Study. | 2018 | Text2Story@ECIR | Jorge Carlos Valverde-Rebaza, Ricardo Puma, Paul Bustios, Nathalia C. Silva | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/ecir/Valverde-Rebaza18 |
Help me find a job - A graph-based approach for job recommendation at scale. | 2017 | IEEE BigData | Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny | ○ | ● | ● | ● | ● | ● | ○ | ○ | ● | ○ | ● | ● | ● | ● | ○ | https://dblp.org/rec/conf/bigdataconf/ShalabyAKPAQZ17 |
FoDRA - A new content-based job recommendation algorithm for job seeking and recruiting. | 2015 | IISA | Nikolaos D. Almalis, George A. Tsihrintzis, Nikolaos Karagiannis, Aggeliki D. Strati | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/iisa/AlmalisTKS15 |
Job Recommendation System Based on Analytic Hierarchy Process and K-means Clustering. | 2021 | ICCMS | Peini Feng, Charles Jiahao Jiang, Jiale Wang, Sunny Yeung, Xijie Li | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/iccms/FengJWYL21 |
GUapp - Enhancing Job Recommendations with Knowledge Graphs. | 2021 | IIR | Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/iir/BiancofioreNSNP21 |
GUApp - a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). | 2021 | KaRS/ComplexRec@RecSys | Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/BiancofioreNSNP21 |
Conversational Recommendations for Job Recruiters (Long paper). | 2021 | KaRS/ComplexRec@RecSys | Francois Mentec, Zoltán Miklós , Sebastien Hervieu, Thierry Roger | ● | ○ | ● | ● | ● | ● | ○ | ○ | ● | ● | ● | ○ | ● | ● | ● | https://dblp.org/rec/conf/recsys/Mentec0HR21 |
Explainable Job-Posting Recommendations Using Knowledge Graphs and Named Entity Recognition. | 2021 | SMC | Chirayu Upadhyay, Hasan Abu-Rasheed, Christian Weber , Madjid Fathi | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | https://dblp.org/rec/conf/smc/UpadhyayA0F21 |
Using autoencoders for session-based job recommendations. | 2020 | User Model. User Adapt. Interact. | Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/umuai/LacicRKDCL20 |
Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation. | 2020 | AAAI | Akshay Gugnani, Hemant Misra | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/aaai/GugnaniM20 |
GUapp - A Conversational Agent for Job Recommendation for the Italian Public Administration. | 2020 | EAIS | Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/eais/BelliniBNSNP20 |
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. | 2020 | SEKE | Yusen Wang, Kaize Shi, Zhendong Niu | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/seke/ShiNW20 |
User click prediction for personalized job recommendation. | 2019 | World Wide Web | Miao Jiang , Yi Fang , Huangming Xie, Jike Chong, Meng Meng | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/www/JiangFXCM19 |
Correcting for Recency Bias in Job Recommendation. | 2019 | CIKM | Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | https://dblp.org/rec/conf/cikm/ChenAJC19 |
Tripartite Vector Representations for Better Job Recommendation. | 2019 | DI2KG@KDD | Mengshu Liu, Jingya Wang, Kareem Abdelfatah, Mohammed Korayem | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/kdd/LiuWAK19 |
Should we embed? - a study on the online performance of utilizing embeddings for real-time job recommendations. | 2019 | RecSys | Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/LacicRDSL19 |
A Combined Representation Learning Approach for Better Job and Skill Recommendation. | 2018 | CIKM | Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/cikm/DaveZHAK18 |
Recommendation of Job Offers Using Random Forests and Support Vector Machines. | 2018 | EDBT/ICDT Workshops | Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | ● | https://dblp.org/rec/conf/edbt/GilFN18 |
A note on explicit versus implicit information for job recommendation. | 2017 | Decis. Support Syst. | Michael Reusens, Wilfried Lemahieu, Bart Baesens, Luc Sels | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/dss/ReusensLBS17 |
A hierarchical similarity based job recommendation service framework for university students. | 2017 | Frontiers Comput. Sci. | Rui Liu, Wenge Rong, Yuanxin Ouyang, Zhang Xiong | ○ | ● | ● | ● | ● | ● | ○ | ● | ○ | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/fcsc/LiuROX17 |
Combining content-based and collaborative filtering for job recommendation system - A cost-sensitive Statistical Relational Learning approach. | 2017 | Knowl. Based Syst. | Shuo Yang , Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dblp.org/rec/journals/kbs/YangKAGN17 |
Topic Modeling Driven Content Based Jobs Recommendation Engine for Recruitment Industry. | 2017 | ITQM | Shivam Bansal, Aman Srivastava, Anuja Arora | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/itqm/BansalSA17 |
Beyond Accuracy Optimization - On the Value of Item Embeddings for Student Job Recommendations. | 2017 | CoRR | Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/corr/abs-1711-07762 |
Rating Prediction Based Job Recommendation Service for College Students. | 2016 | ICCSA | Rui Liu, Yuanxin Ouyang, Wenge Rong, Xin Song, Cui Tang, Zhang Xiong | ○ | ● | ● | ● | ● | ● | ○ | ● | ○ | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/iccsa/LiuORSTX16 |
Job Recommendation from Semantic Similarity of LinkedIn Users’ Skills. | 2016 | ICPRAM | Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Karin Pasini, Roberto Pasolini | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/icpram/DomeniconiMPPP16 |
Multi-stack ensemble for job recommendation. | 2016 | RecSys Challenge | Tommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/CarpiEKSCPQ16 |
Job recommendation based on factorization machine and topic modelling. | 2016 | RecSys Challenge | Vasily A. Leksin, Andrey Ostapets | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/LeksinO16 |
A bottom-up approach to job recommendation system. | 2016 | RecSys Challenge | Sonu K. Mishra, Manoj Reddy | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/MishraR16 |
RecSys Challenge 2016 - job recommendations based on preselection of offers and gradient boosting. | 2016 | RecSys Challenge | Andrzej Pacuk, Piotr Sankowski, Karol Wegrzycki, Adam Witkowski, Piotr Wygocki | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/PacukSWWW16 |
A scalable, high-performance Algorithm for hybrid job recommendations. | 2016 | RecSys Challenge | Toon De Pessemier, Kris Vanhecke, Luc Martens | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/PessemierVM16 |
A preliminary study on a recommender system for the job recommendation challenge. | 2016 | RecSys Challenge | Mirko Polato, Fabio Aiolli | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/PolatoA16 |
Job recommendation with Hawkes process - an effective solution for RecSys Challenge 2016. | 2016 | RecSys Challenge | Wenming Xiao, Xiao Xu, Kang Liang, Junkang Mao, Jun Wang | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/XiaoXLMW16 |
A combination of simple models by forward predictor selection for job recommendation. | 2016 | RecSys Challenge | Dávid Zibriczky | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/recsys/Zibriczky16 |
Job recommendation in AskStory - experiences, methods, and evaluation. | 2016 | SAC | Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim | ○ | ● | ● | ● | ● | ● | ○ | ○ | ● | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/sac/LeeHK16 |
Hyred - HYbrid Job REcommenDation System. | 2015 | ICE-B | Bruno Coelho, Fernando Costa, Gil M. Gonçalves | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/icete/CoelhoCG15 |
Field selection for job categorization and recommendation to social network users. | 2014 | ASONAM | Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, Marie-Aude Aufaure | ○ | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/asunam/MalherbeDCVA14 |
Summer Job Selection Model Based on Job Matching and Comprehensive Evaluation Algorithm. | 2021 | ICAIIS | Tianhua Zhao, Wuyu Cheng, Zhixiang Chen | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/icaiis/ZhaoCC21 |
Looking for Jobs? Matching Adults with Autism with Potential Employers for Job Opportunities. | 2021 | IDEAS | Joseph Bills, Yiu-Kai Dennis Ng | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ● | ● | https://dblp.org/rec/conf/ideas/BillsN21 |
conSultantBERT - Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. | 2021 | CoRR | Dor Lavi, Volodymyr Medentsiy, David Graus | ● | ● | ○ | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/journals/corr/abs-2109-06501 |
Feature Selection for Job Matching Application using Profile Matching Model. | 2019 | ICCCS | Leah G. Rodriguez, Enrico P. Chavez | ● | ○ | ● | ○ | ● | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/ccoms/RodriguezC19 |
A Deep-Learning-Inspired Person-Job Matching Model Based on Sentence Vectors and Subject-Term Graphs. | 2021 | Complex. | Xiaowei Wang, Zhenhong Jiang, Lingxi Peng | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/journals/complexity/WangJP21 |
A fuzzy logic and ontology-based approach for improving the CV and job offer matching in recruitment process. | 2021 | Int. J. Metadata Semant. Ontologies | Amine Habous, El Habib Nfaoui | ● | ● | ○ | ● | ● | ● | ○ | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/journals/ijmso/HabousN21 |
Matching Applicants with Positions for Better Allocation of Employees in the Job Market. | 2021 | ACIT | Ziad Elgammal, Abdullah Barmu, Hamza Hassan, Khaled Elgammal, Tansel Özyer, Reda Alhajj | ● | ● | ○ | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/acit3/ElgammalBHEOA21 |
Skill Extraction for Domain-Specific Text Retrieval in a Job-Matching Platform. | 2021 | CLEF | Ellery Smith, Andreas Weiler, Martin Braschler | ● | ● | ○ | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/clef/SmithWB21 |
Beyond Matching - Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit. | 2021 | DASFAA | Bin Fu, Hongzhi Liu , Yao Zhu , Yang Song, Tao Zhang , Zhonghai Wu | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ● | ○ | ● | ○ | ● | ● | https://dblp.org/rec/conf/dasfaa/FuL0SZW21 |
Embedding-based Recommender System for Job to Candidate Matching on Scale. | 2021 | CoRR | Jing Zhao, Jingya Wang, Madhav Sigdel, Bopeng Zhang, Phuong Hoang, Mengshu Liu, Mohammed Korayem | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ● | ● | ● | ○ | ● | ○ | https://dblp.org/rec/journals/corr/abs-2107-00221 |
Matching Recruiters and Jobseekers on Twitter. | 2020 | ASONAM | Aparup Khatua, Wolfgang Nejdl | ● | ● | ○ | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/asunam/KhatuaN20 |
Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models. | 2020 | EMNLP | Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D. Choi | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/emnlp/LiFTPHC20 |
CV Retrieval System based on job description matching using hybrid word embeddings. | 2019 | Comput. Speech Lang. | Francis C. Fernández-Reyes, Suraj Shinde | ● | ○ | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/csl/Fernandez-Reyes19 |
Interview Choice Reveals Your Preference on the Market - To Improve Job-Resume Matching through Profiling Memories. | 2019 | KDD | Rui Yan , Ran Le, Yang Song, Tao Zhang , Xiangliang Zhang , Dongyan Zhao | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/kdd/YanLSZZ019 |
Matching Résumés to Job Descriptions with Stacked Models. | 2018 | Canadian Conference on AI | Peng Xu, Denilson Barbosa | ● | ○ | ● | ● | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/ai/XuB18 |
Matching Resumes to Jobs via Deep Siamese Network. | 2018 | WWW | Saket Maheshwary, Hemant Misra | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/www/MaheshwaryM18 |
GBER - A Social Matching App which utilizes Time, Place, and Skills of Workers and Jobs. | 2017 | CSCW Companion | Shoma Arita, Atsushi Hiyama, Michitaka Hirose | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/cscw/AritaHH17 |
Job seeker to vacancy matching using social network analysis. | 2017 | ICIT | Sisay Adugna Chala, Madjid Fathi | ● | ● | ○ | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/icit2/ChalaF17 |
Language Modelling for Collaborative Filtering - Application to Job Applicant Matching. | 2017 | ICTAI | Thomas Schmitt , François Gonard, Phillipe Caillou, Michèle Sebag | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/ictai/SchmittGCS17 |
RésuMatcher - A personalized résumé-job matching system. | 2016 | Expert Syst. Appl. | Shiqiang Guo, Folami Alamudun, Tracy Hammond | ○ | ● | ● | ● | ● | ● | ○ | ○ | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/eswa/GuoAH16 |
Semantic Matching Strategies for Job Recruitment - A Comparison of New and Known Approaches. | 2016 | FoIKS | Gábor Rácz, Attila Sali, Klaus-Dieter Schewe | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/foiks/RaczSS16 |
Matching Jobs and Resumes - a Deep Collaborative Filtering Task. | 2016 | GCAI | Thomas Schmitt , Phillipe Caillou, Michèle Sebag | ○ | ● | ● | ● | ● | ● | ○ | ○ | ● | ○ | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/gcai/SchmittCS16 |
Machine Learned Resume-Job Matching Solution. | 2016 | CoRR | Yiou Lin, Hang Lei, Prince Clement Addo, Xiaoyu Li | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/corr/LinLAL16 |
Matching GitHub Developer Profiles to Job Advertisements. | 2015 | MSR | Claudia Hauff, Georgios Gousios | ● | ● | ○ | ● | ● | ○ | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/msr/HauffG15 |
Combining Career Progression and Profile Matching in a Job Recommender System. | 2014 | PRICAI | Bradford Heap, Alfred Krzywicki, Wayne Wobcke, Mike Bain, Paul Compton | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/pricai/HeapKWBC14 |
Reciprocal Recommendation for Job Matching with Bidirectional Feedback. | 2013 | IIAI-AAI | Tsunenori Mine, Tomoyuki Kakuta, Akira Ono | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/iiaiaai/MineKO13 |
On-line consistent ranking on e-recruitment - seeking the truth behind a well-formed CV. | 2014 | Artif. Intell. Rev. | Evanthia Faliagka, Lazaros S. Iliadis, Ioannis Karydis, Maria Rigou, Spyros Sioutas, Athanasios K. Tsakalidis, Giannis Tzimas | ● | ○ | ● | ● | ● | ● | ○ | ○ | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/air/FaliagkaIKRSTT14 |
An Integrated E-Recruitment System for Automated Personality Mining and Applicant Ranking. | 2012 | Internet Res. | Evanthia Faliagka, Athanasios K. Tsakalidis, Giannis Tzimas | ● | ○ | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/journals/intr/FaliagkaTT12 |
Harmonic Means between TF-IDF and Angle of Similarity to Identify Prospective Applicants in a Recruitment Setting. | 2020 | ACAI | Ronie C. Bituin, Ronielle B. Antonio, James A. Esquivel | ● | ○ | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/acai2/BituinAE20 |
A Framework for e-Recruitment Recommender Systems. | 2020 | ICAISC | Mauricio Noris Freire, Leandro Nunes de Castro | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/icaisc/FreireC20 |
Analysis and shortcomings of e-recruitment systems - Towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage. | 2019 | J. Inf. Sci. | Mohammed Maree, Aseel B. Kmail, Mohammed Belkhatir | ● | ● | ○ | ● | ● | ○ | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/journals/jis/MareeKB19 |
A Case-Based Multi-Agent and Recommendation Environment to Improve the E-Recruitment Process. | 2015 | PAAMS | Oscar M. Salazar, Juan C. Jaramillo, Demetrio Arturo Ovalle, Jaime Alberto Guzmán Luna | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/paams/SalazarJOL15 |
A Content-Based Recommendation Approach Using Semantic User Profile in E-recruitment. | 2015 | TPNC | Oualid Chenni, Yanis Bouda, Hamid Benachour, Chahnez Zakaria | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/tpnc/ChenniBBZ15 |
A recommender system for job seeking and recruiting website. | 2013 | WWW | Yao Lu, Sandy El Helou, Denis Gillet | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/www/LuHG13 |
Toward the next generation of recruitment tools - an online social network-based job recommender system. | 2013 | ASONAM | Mamadou Diaby, Emmanuel Viennet, Tristan Launay | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dblp.org/rec/conf/asunam/DiabyVL13 |
Person-Job Fit - Adapting the Right Talent for the Right Job with Joint Representation Learning. | 2018 | ACM Trans. Manag. Inf. Syst. | Chen Zhu, Hengshu Zhu, Hui Xiong , Chao Ma , Fang Xie, Pengliang Ding, Pan Li | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/journals/tmis/ZhuZXMXDL18 |
An Explainable Person-Job Fit Model Incorporating Structured Information. | 2021 | IEEE BigData | Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/conf/bigdataconf/ZhangLQQZJ21 |
An interpretable person-job fitting approach based on classification and ranking. | 2021 | ICNLSP | Mohamed Amine Menacer, Fatma Ben Hamda, Ghada Mighri, Sabeur Ben Hamidene, Maxime Cariou | ● | ● | ○ | ○ | ● | ● | ● | ○ | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/conf/icnlsp/MenacerHMHC21 |
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. | 2020 | ACM Trans. Inf. Syst. | Chuan Qin , Hengshu Zhu, Tong Xu , Chen Zhu, Chao Ma , Enhong Chen, Hui Xiong | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/journals/tois/QinZXZMCX20 |
Learning Effective Representations for Person-Job Fit by Feature Fusion. | 2020 | CIKM | Junshu Jiang, Songyun Ye, Wei Wang , Jingran Xu, Xiaosheng Luo | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/cikm/JiangYWXL20 |
Towards Effective and Interpretable Person-Job Fitting. | 2019 | CIKM | Ran Le, Wenpeng Hu, Yang Song, Tao Zhang , Dongyan Zhao , Rui Yan | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/conf/cikm/LeHSZ0019 |
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. | 2019 | EMNLP/IJCNLP | Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang , Ji-Rong Wen | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dblp.org/rec/conf/emnlp/BianZSZW19 |
Enhancing Person-Job Fit for Talent Recruitment - An Ability-aware Neural Network Approach. | 2018 | SIGIR | Chuan Qin , Hengshu Zhu, Tong Xu , Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | ○ | ● | ● | https://dblp.org/rec/conf/sigir/QinZXZJCX18 |
A Novel Personalized Preference-based Approach for Job/Candidate Recommendation. | 2021 | RCIS | Olfa Slama, Patrice Darmon | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | https://dblp.org/rec/conf/rcis/SlamaD21 |
Huntalent - A candidates recommendation system for automatic recruitment via LinkedIn. | 2020 | SNAMS | Shayma Boukari, Sondes Fayech, Rim Faiz | ● | ○ | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ○ | https://dblp.org/rec/conf/snams/BoukariFF20 |
Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks. | 2018 | IEEE Access | Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang , Dapeng Oliver Wu | ○ | ○ | ● | ● | ● | ● | ○ | ○ | ● | ○ | ● | ● | ● | ● | ○ | https://dblp.org/rec/journals/access/ChenZDGHWW18 |
Job and Candidate Recommendation with Big Data Support - A Contextual Online Learning Approach. | 2017 | GLOBECOM | Shaokang Dong, Zijian Lei, Pan Zhou, Kaigui Bian, Guanghui Liu | ○ | ● | ● | ● | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ● | ○ | https://dblp.org/rec/conf/globecom/DongLZBL17 |
A Ranker Ensemble for Multi-objective Job Recommendation in an Item Cold Start Setting | 2017 | RecSys Challenge | Murat Yagci, Fikret Gurgen | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3124791.3124798 |
Job Recommendation Based on Curriculum Vitae Using Text Mining | 2021 | FICC | Honorio Apaza, Américo Ariel, Rubin de Celis Vidal, Josimar Edinson Chire Saire | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://link.springer.com/chapter/10.1007/978-3-030-73100-7_72 |
A content based approach for recommending personnel for job positions | 2014 | IISA | Nikolaos D. Almalis; George A. Tsihrintzis; Nikolaos Karagiannis | ● | ○ | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://ieeexplore.ieee.org/iel7/6872645/6878713/06878720.pdf |
Dynamic User Profile-Based Job Recommender System | 2013 | ICCSE | Wenxing Hong, Siting Zheng, Huan Wang | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6554164 |
Exploring an Optimal Online Model for New Job Recommendation | 2017 | RecSys Challenge | Masahiro Sato, Koki Nagatani, Takuji Tahara | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3124791.3124797 |
A Machine Learning approach for automation of Resume Recommendation system | 2020 | Procedia Computer Science | https://www.sciencedirect.com/science/article/pii/SX#! | ● | ○ | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://www.sciencedirect.com/science/article/pii/S187705092030750X |
CaPaR: A Career Path Recommendation Framework | 2017 | BigDataService | Bharat Patel, Varun Kakuste, Magdalini Eirinaki | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7944917 |
Resumegan: An optimized deep representation learning framework for talent-job fit via adversarial learning | 2019 | CIKM | Yong Luo | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3357384.3357899 |
Salience and Market-aware Skill Extraction for Job Targeting | 2020 | KDD | Baoxu Shi | ○ | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3394486.3403338 |
Self-Attentional Multi-Field Features Representation and Interaction Learning for Person-Job Fit | 2021 | IEEE Transactions on Computational Social Systems | Miao He; Dayong Shen; Tao Wang; Hua Zhao; Zhongshan Zhang; Renjie He | ● | ● | ○ | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | https://ieeexplore.ieee.org/iel7/6570650/6780646/09663400.pdf |
FINN: Feature Interaction Neural Network for Person-Job Fit | 2021 | BigDIA | Miao He | ● | ● | ○ | ○ | ● | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | https://ieeexplore.ieee.org/abstract/document/9619599/ |
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network | 2020 | CIKM | Shuqing Bian | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3340531.3411929 |
The matching scarcity problem: When recommenders do not connect the edges in recruitment services | 2021 | Expert Systems With Applications | Alan Cardoso | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://www.sciencedirect.com/science/article/pii/S0957417421002050 |
Debiasing Career Recommendations with Neural Fair Collaborative Filtering | 2021 | WWW | Rashidul Islam | ○ | ● | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ● | ● | ○ | ● | https://dl.acm.org/doi/abs/10.1145/3442381.3449904 |
CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents | 2016 | KDD | Fedor Borisyuk | ○ | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ○ | https://dl.acm.org/doi/pdf/10.1145/2939672.2939718 |
How Integration helps on Cold-Start Recommendations | 2017 | RecSys Challenge | Cheng Guo, Hongyu Lu, Shaoyun Shi, Bin Hao, Bin Liu, Min Zhang, Yiqun Liu, Shaoping Ma | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/10.1145/3124791.3124796 |
Practical Lessons for Job Recommendations in the Cold-Start Scenario | 2017 | RecSys Challenge | Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun | ● | ● | ○ | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3124791.3124794 |
Content-Based approaches for Cold-Start Job Recommendations | 2017 | RecSys Challenge | Mattia Bianchi, Federico Cesaro, Filippo Ciceri, Mattia Dagrada, Alberto Gasparin, Daniele Grattarola, Ilyas Inajjar, Alberto Maria Metelli, Leonardo Cella | ● | ● | ○ | ● | ● | ● | ○ | ● | ● | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3124791.3124793 |
Content-based Neighbor Models for Cold Start in Recommender Systems | 2017 | RecSys Challenge | Maksims Volkovs, Guang Wei Yu, Tomi Poutanen | ● | ● | ○ | ● | ● | ● | ○ | ● | ○ | ○ | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3124791.3124792 |
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction | 2016 | KDD | Xianxing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal | ○ | ● | ● | ● | ● | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ○ | https://dl.acm.org/doi/pdf/10.1145/2939672.2939684? |
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace | 2017 | KDD | Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | ● | https://dl.acm.org/doi/pdf/10.1145/3097983.3098028? |
A content based approach for recommending personnel for job positions | 2014 | IISA | Nikolaos D. Almalis, George A. Tsihrintzis, Nikolaos Karagiannis | ● | ○ | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6878720 |
Fairness-Aware Ranking in Search & Recommendation Systems | 2019 | KDD | Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi | ● | ○ | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ● | ○ | ● | https://dl.acm.org/doi/pdf/10.1145/3292500.3330691? |