{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T01:02:18Z","timestamp":1787619738943,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,8]]},"DOI":"10.1145\/3640457.3688043","type":"proceedings-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T15:39:28Z","timestamp":1728401968000},"page":"796-799","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Leveraging LLM generated labels to reduce bad matches in job recommendations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1279-7305","authenticated-orcid":false,"given":"Yingchi","family":"Pei","sequence":"first","affiliation":[{"name":"Data Science, Indeed.com, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4557-3580","authenticated-orcid":false,"given":"Yi Wei","family":"Pang","sequence":"additional","affiliation":[{"name":"Software Engineering, Indeed.com, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0507-3928","authenticated-orcid":false,"given":"Warren","family":"Cai","sequence":"additional","affiliation":[{"name":"Product Management, Indeed.com, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2819-2539","authenticated-orcid":false,"given":"Nilanjan","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Data Science, Indeed.com, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2930-5995","authenticated-orcid":false,"given":"Dheeraj","family":"Toshniwal","sequence":"additional","affiliation":[{"name":"Data Science, Indeed.com, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.870"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_2_2_3_1","unstructured":"OpenAI. [n. d.]. Fine-tuning. https:\/\/platform.openai.com\/docs\/guides\/fine-tuning"},{"key":"e_1_3_2_2_4_1","volume-title":"Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. ArXiv abs\/1812.11422","author":"Paudel Bibek","year":"2018","unstructured":"Bibek Paudel, Sandro Luck, and Abraham Bernstein. 2018. Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. ArXiv abs\/1812.11422 (2018). https:\/\/api.semanticscholar.org\/CorpusID:57189422"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Shreya Shankar J.\u00a0D. Zamfirescu-Pereira Bj\u00f6rn Hartmann Aditya\u00a0G. Parameswaran and Ian Arawjo. 2024. Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. arxiv:2404.12272\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2404.12272","DOI":"10.1145\/3654777.3676450"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610244"},{"key":"e_1_3_2_2_7_1","volume-title":"Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. ArXiv abs\/2306.05685","author":"Zheng Lianmin","year":"2023","unstructured":"Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric\u00a0P. Xing, Haotong Zhang, Joseph Gonzalez, and Ion Stoica. 2023. Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. ArXiv abs\/2306.05685 (2023). https:\/\/api.semanticscholar.org\/CorpusID:259129398"}],"event":{"name":"RecSys '24: 18th ACM Conference on Recommender Systems","location":"Bari Italy","acronym":"RecSys '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["18th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688043","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640457.3688043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:29Z","timestamp":1750294709000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":7,"alternative-id":["10.1145\/3640457.3688043","10.1145\/3640457"],"URL":"https:\/\/doi.org\/10.1145\/3640457.3688043","relation":{},"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"2024-10-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}