A recommender system for occupational hygiene services using natural language processing
Although recommender systems have been used in a wide variety of products, they have not had the same adoption in the insurance sector due to the particular aspects of the industry. The present research proposes a novel model that uses natural language processing techniques and a deep learning-based...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Healthcare Analytics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442523000151 |
| _version_ | 1797796064970932224 |
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| author | Nicolás Barrera Rodolfo Torres Jhonathan Rodríguez Oscar Espinosa Salín Avellaneda Jorge Ramírez |
| author_facet | Nicolás Barrera Rodolfo Torres Jhonathan Rodríguez Oscar Espinosa Salín Avellaneda Jorge Ramírez |
| author_sort | Nicolás Barrera |
| collection | DOAJ |
| description | Although recommender systems have been used in a wide variety of products, they have not had the same adoption in the insurance sector due to the particular aspects of the industry. The present research proposes a novel model that uses natural language processing techniques and a deep learning-based model to recommend occupational hygiene services. The results of ranking methods showed that the model combining memorization and generalization of companies’ activities preferences performed better compared to other models. These findings have significant implications for decision-making as they can improve the welfare of both companies and workers, while also limiting the options offered to clients based on their unique profiles. |
| first_indexed | 2024-03-13T03:28:30Z |
| format | Article |
| id | doaj.art-95f7b555e06a43129a5067673e2a04a8 |
| institution | Directory Open Access Journal |
| issn | 2772-4425 |
| language | English |
| last_indexed | 2024-03-13T03:28:30Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Healthcare Analytics |
| spelling | doaj.art-95f7b555e06a43129a5067673e2a04a82023-06-25T04:44:11ZengElsevierHealthcare Analytics2772-44252023-11-013100148A recommender system for occupational hygiene services using natural language processingNicolás Barrera0Rodolfo Torres1Jhonathan Rodríguez2Oscar Espinosa3Salín Avellaneda4Jorge Ramírez5Directorate of Analytical, Economic and Actuarial Studies in Health, Instituto de Evaluación Tecnológica en Salud (IETS), Colombia; Correspondence to: Carrera 49a # 91 – 91, Bogotá, Colombia.Directorate of Analytical, Economic and Actuarial Studies in Health, Instituto de Evaluación Tecnológica en Salud (IETS), ColombiaDirectorate of Analytical, Economic and Actuarial Studies in Health, Instituto de Evaluación Tecnológica en Salud (IETS), Colombia; Economic Models and Quantitative Methods Research Group, Centro de Investigaciones para el Desarrollo, Universidad Nacional de Colombia, ColombiaDirectorate of Analytical, Economic and Actuarial Studies in Health, Instituto de Evaluación Tecnológica en Salud (IETS), Colombia; Economic Models and Quantitative Methods Research Group, Centro de Investigaciones para el Desarrollo, Universidad Nacional de Colombia, ColombiaVice Presidency of Promotion and Prevention, Positiva Compañía de Seguros, ColombiaVice Presidency of Promotion and Prevention, Positiva Compañía de Seguros, ColombiaAlthough recommender systems have been used in a wide variety of products, they have not had the same adoption in the insurance sector due to the particular aspects of the industry. The present research proposes a novel model that uses natural language processing techniques and a deep learning-based model to recommend occupational hygiene services. The results of ranking methods showed that the model combining memorization and generalization of companies’ activities preferences performed better compared to other models. These findings have significant implications for decision-making as they can improve the welfare of both companies and workers, while also limiting the options offered to clients based on their unique profiles.http://www.sciencedirect.com/science/article/pii/S2772442523000151Recommender systemInsurance sectorNatural language processingCollaborative filter |
| spellingShingle | Nicolás Barrera Rodolfo Torres Jhonathan Rodríguez Oscar Espinosa Salín Avellaneda Jorge Ramírez A recommender system for occupational hygiene services using natural language processing Healthcare Analytics Recommender system Insurance sector Natural language processing Collaborative filter |
| title | A recommender system for occupational hygiene services using natural language processing |
| title_full | A recommender system for occupational hygiene services using natural language processing |
| title_fullStr | A recommender system for occupational hygiene services using natural language processing |
| title_full_unstemmed | A recommender system for occupational hygiene services using natural language processing |
| title_short | A recommender system for occupational hygiene services using natural language processing |
| title_sort | recommender system for occupational hygiene services using natural language processing |
| topic | Recommender system Insurance sector Natural language processing Collaborative filter |
| url | http://www.sciencedirect.com/science/article/pii/S2772442523000151 |
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