{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T19:54:57Z","timestamp":1782590097129,"version":"3.54.5"},"reference-count":42,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T00:00:00Z","timestamp":1773705600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing &amp; Management"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.ipm.2026.104751","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:09:12Z","timestamp":1774264152000},"page":"104751","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive talent aligner: A large language model with dynamic hierarchical analysis and bias-corrective memory pool for personalized human resource management"],"prefix":"10.1016","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4164-0576","authenticated-orcid":false,"given":"Yuhua","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7159-7046","authenticated-orcid":false,"given":"Jiajing","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1975-8601","authenticated-orcid":false,"given":"Yuting","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7737-4580","authenticated-orcid":false,"given":"Shufang","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3742-258X","authenticated-orcid":false,"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6148-9688","authenticated-orcid":false,"given":"Zhixin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.ipm.2026.104751_bib0001","doi-asserted-by":"crossref","first-page":"6","DOI":"10.26668\/businessreview\/2023.v8i5.1424","article-title":"Job analysis in organizations: Transition from traditional to strategic","volume":"8","author":"Ahmad","year":"2023","journal-title":"International Journal of Professional Business Review: Int. J. Prof. Bus. Rev."},{"issue":"11","key":"10.1016\/j.ipm.2026.104751_bib0002","doi-asserted-by":"crossref","first-page":"161","DOI":"10.3390\/computers11110161","article-title":"Learning-based matched representation system for job recommendation","volume":"11","author":"Alsaif","year":"2022","journal-title":"Computers"},{"key":"10.1016\/j.ipm.2026.104751_bib0003","series-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","first-page":"4810","article-title":"Domain adaptation for person-job fit with transferable deep global match network","author":"Bian","year":"2019"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0004","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1111\/j.1744-6570.2010.01207.x","article-title":"Doing competencies well: Best practices in competency modeling","volume":"64","author":"Campion","year":"2011","journal-title":"Personnel Psychology"},{"issue":"9","key":"10.1016\/j.ipm.2026.104751_bib0005","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1002\/ajim.20846","article-title":"Use of o* NET as a job exposure matrix: A literature review","volume":"53","author":"Cifuentes","year":"2010","journal-title":"American Journal of Industrial Medicine"},{"key":"10.1016\/j.ipm.2026.104751_bib0006","unstructured":"Clavi\u00e9, B., & Souli\u00e9, G. (2023). Large language models as batteries-included zero-shot ESCO skills matchers. arXiv: 2307.03539."},{"key":"10.1016\/j.ipm.2026.104751_bib0007","series-title":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM \u201918)","first-page":"1997","article-title":"A combined representation learning approach for better job and skill recommendation","author":"Dave","year":"2018"},{"key":"10.1016\/j.ipm.2026.104751_bib0008","unstructured":"Decorte, J.-J., Van Hautte, J., Deleu, J., Develder, C., & Demeester, T. (2022). Design of negative sampling strategies for distantly supervised skill extraction. arXiv: 2209.05987."},{"key":"10.1016\/j.ipm.2026.104751_bib0009","doi-asserted-by":"crossref","unstructured":"Devoto, A., Zhao, Y., Scardapane, S., & Minervini, P. (2024). A simple and effective l_2 norm-based strategy for KV cache compression. arXiv: 2406.11430.","DOI":"10.18653\/v1\/2024.emnlp-main.1027"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0010","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1111\/manc.12389","article-title":"Monetary rewards in employee referral programs","volume":"90","author":"Ekinci","year":"2022","journal-title":"The Manchester School"},{"issue":"2","key":"10.1016\/j.ipm.2026.104751_bib0011","doi-asserted-by":"crossref","DOI":"10.1080\/1331677X.2022.2123022","article-title":"Right person for the right job: The impact of top management\u2019s occupational background on chinese enterprises\u2019 r&d efficiency","volume":"36","author":"Jiang","year":"2023","journal-title":"Economic Research-Ekonomska Istra\u017eivanja"},{"key":"10.1016\/j.ipm.2026.104751_bib0012","series-title":"Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys \u201917)","first-page":"346","article-title":"Personalized job recommendation system at linkedin: Practical challenges and lessons learned","author":"Kenthapadi","year":"2017"},{"key":"10.1016\/j.ipm.2026.104751_bib0013","doi-asserted-by":"crossref","unstructured":"Lee, D., Prakash, C. S., FitzGerald, J., & Lehmann, J. (2024). Matter: Memory-augmented transformer using heterogeneous knowledge sources. arXiv: 2406.04670.","DOI":"10.18653\/v1\/2024.findings-acl.953"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0014","doi-asserted-by":"crossref","first-page":"95","DOI":"10.18401\/2023.13.1.7","article-title":"Profiles in the work values of college graduates and their relation to person-job fit and job satisfaction","volume":"13","author":"Lee","year":"2023","journal-title":"Journal of Asia Pacific Counseling"},{"issue":"2","key":"10.1016\/j.ipm.2026.104751_bib0015","doi-asserted-by":"crossref","first-page":"183","DOI":"10.17323\/2312-5942-2022-12-2-183-197","article-title":"The mediating role of job satisfaction and work engagement in the relationship between self-reported person-job fit and job performance","volume":"12","author":"Lee","year":"2022","journal-title":"Organizational Psychology"},{"issue":"10","key":"10.1016\/j.ipm.2026.104751_bib0016","doi-asserted-by":"crossref","first-page":"3588","DOI":"10.1108\/IJCHM-06-2021-0801","article-title":"Why customer mistreatment undermines hospitality employees\u2019 performance: The moderating role of job crafting","volume":"34","author":"Lu","year":"2022","journal-title":"International Journal of Contemporary Hospitality Management"},{"key":"10.1016\/j.ipm.2026.104751_bib0017","series-title":"Companion proceedings of the web conference 2018","first-page":"87","article-title":"Matching resumes to jobs via deep siamese network","author":"Maheshwary","year":"2018"},{"issue":"16","key":"10.1016\/j.ipm.2026.104751_bib0018","doi-asserted-by":"crossref","first-page":"9464","DOI":"10.3390\/app13169464","article-title":"A job recommendation method based on attention layer scoring characteristics and tensor decomposition","volume":"13","author":"Mao","year":"2023","journal-title":"Applied Sciences"},{"key":"10.1016\/j.ipm.2026.104751_bib0019","first-page":"364","article-title":"Job recommendation system using profile matching and web-crawling","volume":"1","author":"Musale","year":"2016","journal-title":"International Journal of Advance Scientific Research and Engineering Trend"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0020","article-title":"Deep neural network model construction for digital human resource management with human-job matching","volume":"2022","author":"Ni","year":"2022","journal-title":"Computational Intelligence and Neuroscience"},{"issue":"9","key":"10.1016\/j.ipm.2026.104751_bib0021","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1108\/JSM-04-2023-0154","article-title":"Linking person\u2013job fit and intrinsic motivation to salespeople\u2019s service innovative behavior","volume":"37","author":"Oqla","year":"2023","journal-title":"Journal of Services Marketing"},{"key":"10.1016\/j.ipm.2026.104751_bib0022","unstructured":"Otani, N., Bhutani, N., & Hruschka, E. (2024). Natural language processing for human resources: A survey. arXiv: 2410.16498."},{"key":"10.1016\/j.ipm.2026.104751_bib0023","series-title":"2023 7th international conference on computing, communication, control and automation (ICCUBEA)","first-page":"1","article-title":"Ai based job recommedation system using bert","author":"Panchasara","year":"2023"},{"key":"10.1016\/j.ipm.2026.104751_bib0024","series-title":"Proceedings of the Fifth ACM Conference on Recommender Systems (RecSys \u201911)","first-page":"325","article-title":"Machine learned job recommendation","author":"Paparrizos","year":"2011"},{"issue":"2","key":"10.1016\/j.ipm.2026.104751_bib0025","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s10869-022-09824-0","article-title":"Evaluating a natural language processing approach to estimating KSA and interest job analysis ratings","volume":"38","author":"Putka","year":"2023","journal-title":"Journal of Business and Psychology"},{"key":"10.1016\/j.ipm.2026.104751_bib0026","series-title":"Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR \u201918)","first-page":"25","article-title":"Enhancing person-job fit for talent recruitment: An ability-aware neural network approach","author":"Qin","year":"2018"},{"key":"10.1016\/j.ipm.2026.104751_bib0027","series-title":"2017 IEEE International Conference on Big Data (Big Data)","first-page":"1544","article-title":"Help me find a job: A graph-based approach for job recommendation at scale","author":"Shalaby","year":"2017"},{"key":"10.1016\/j.ipm.2026.104751_bib0028","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/ACCESS.2023.3325753","article-title":"The employment management for college students based on deep learning and big data","volume":"11","author":"Shi","year":"2023","journal-title":"IEEE Access"},{"issue":"8","key":"10.1016\/j.ipm.2026.104751_bib0029","doi-asserted-by":"crossref","first-page":"7411","DOI":"10.1007\/s12144-023-04930-5","article-title":"Does person-job fit buffer employees from rumination about customer incivility?","volume":"43","author":"Shin","year":"2024","journal-title":"Current Psychology"},{"key":"10.1016\/j.ipm.2026.104751_bib0030","unstructured":"Tahmid, S., & Sarker, S. (2024). Qwen2. 5-32b: Leveraging self-consistent tool-integrated reasoning for bengali mathematical olympiad problem solving. arXiv: 2411.05934."},{"key":"10.1016\/j.ipm.2026.104751_bib0031","series-title":"Ifip international conference on artificial intelligence applications and innovations","first-page":"333","article-title":"Employing natural language processing techniques for online job vacancies classification","author":"Varelas","year":"2022"},{"issue":"3","key":"10.1016\/j.ipm.2026.104751_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.104054","article-title":"A novel large-language-model-driven framework for named entity recognition","volume":"62","author":"Wang","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104751_bib0033","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.neucom.2022.06.012","article-title":"Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks","volume":"501","author":"Wang","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ipm.2026.104751_bib0034","series-title":"Job-applicant matchmaking system using natural language processing","author":"Wooi","year":"2023"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0035","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1504\/IJVCM.2024.140365","article-title":"The impact of person-job fit and job training-fit on employee work behaviour-a moderator analysis","volume":"15","author":"Yevugah","year":"2024","journal-title":"International Journal of Value Chain Management"},{"key":"10.1016\/j.ipm.2026.104751_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125265","article-title":"Multi-position two-phase person-position matching decision-making with intermediary participation","volume":"259","author":"Yue","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104751_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125265","article-title":"Multi-position two-phase person-position matching decision-making with intermediary participation","volume":"259","author":"Yue","year":"2025","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.ipm.2026.104751_bib0038","doi-asserted-by":"crossref","first-page":"3846","DOI":"10.1038\/s41598-024-54177-8","article-title":"Dynamic person-position matching decision method based on hesitant fuzzy number information","volume":"14","author":"Yue","year":"2024","journal-title":"Scientific Reports"},{"issue":"23","key":"10.1016\/j.ipm.2026.104751_bib0039","doi-asserted-by":"crossref","DOI":"10.3390\/su162310540","article-title":"Developing a competency model for human resource directors (HRDs) in exponential organizations undergoing digital transformation","volume":"16","author":"Zhang","year":"2024","journal-title":"Sustainability"},{"key":"10.1016\/j.ipm.2026.104751_bib0040","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Wu, Z., Manning, C. D., Potts, C., & Chen, D. (2023). Mquake: Assessing knowledge editing in language models via multi-hop questions. arXiv: 2305.14795.","DOI":"10.18653\/v1\/2023.emnlp-main.971"},{"issue":"3","key":"10.1016\/j.ipm.2026.104751_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.104052","article-title":"Adaptive-solver framework for dynamic strategy selection in large language model reasoning","volume":"62","author":"Zhou","year":"2025","journal-title":"Information Processing & Management"},{"issue":"3","key":"10.1016\/j.ipm.2026.104751_bib0042","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3234465","article-title":"Person-job fit: Adapting the right talent for the right job with joint representation learning","volume":"9","author":"Zhu","year":"2018","journal-title":"ACM Transactions on Management Information Systems (TMIS)"}],"container-title":["Information Processing &amp; Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326001421?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326001421?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T20:53:49Z","timestamp":1779483229000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306457326001421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":42,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["S0306457326001421"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104751","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive talent aligner: A large language model with dynamic hierarchical analysis and bias-corrective memory pool for personalized human resource management","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104751","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"104751"}}