Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01HBRHT17WDBN3P9KEABD0XEJ6> ?p ?o. }
Showing items 1 to 23 of
23
with 100 items per page.
- 01HBRHT17WDBN3P9KEABD0XEJ6 classification P1.
- 01HBRHT17WDBN3P9KEABD0XEJ6 date "2023".
- 01HBRHT17WDBN3P9KEABD0XEJ6 language "eng".
- 01HBRHT17WDBN3P9KEABD0XEJ6 type conference.
- 01HBRHT17WDBN3P9KEABD0XEJ6 hasPart 01HDDS29WS7JZ5MVE92GVVB5P3.pdf.
- 01HBRHT17WDBN3P9KEABD0XEJ6 hasPart 01HGDFMQVGVRB9ZX09ET2R28PT.pdf.
- 01HBRHT17WDBN3P9KEABD0XEJ6 subject "Technology and Engineering".
- 01HBRHT17WDBN3P9KEABD0XEJ6 doi "10.1145/3604915.3608817".
- 01HBRHT17WDBN3P9KEABD0XEJ6 isbn "9798400702419".
- 01HBRHT17WDBN3P9KEABD0XEJ6 presentedAt urn:uuid:66cae868-d18a-4af2-8d50-5f01b515e4ef.
- 01HBRHT17WDBN3P9KEABD0XEJ6 abstract "Recommender systems may suffer from congestion, meaning that there is an unequal distribution of the items in how often they are recommended. Some items may be recommended much more than others. Recommenders are increasingly used in domains where items have limited availability, such as the job market, where congestion is especially problematic: Recommending a vacancy—for which typically only one person will be hired—to a large number of job seekers may lead to frustration for job seekers, as they may be applying for jobs where they are not hired. This may also leave vacancies unfilled and result in job market inefficiency. We propose a novel approach to job recommendation called ReCon, accounting for the congestion problem. Our approach is to use an optimal transport component to ensure a more equal spread of vacancies over job seekers, combined with a job recommendation model in a multi-objective optimization problem. We evaluated our approach on two real-world job market datasets. The evaluation results show that ReCon has good performance on both congestion-related (e.g., Congestion) and desirability (e.g., NDCG) measures.".
- 01HBRHT17WDBN3P9KEABD0XEJ6 author 7E14BF6C-50F5-11E5-B4A0-F149B5D1D7B1.
- 01HBRHT17WDBN3P9KEABD0XEJ6 author 9797BDFE-BE0B-11E4-9A6A-FB22B5D1D7B1.
- 01HBRHT17WDBN3P9KEABD0XEJ6 author CCDC061E-B0DB-11E5-A24A-8CD8B4D1D7B1.
- 01HBRHT17WDBN3P9KEABD0XEJ6 author f1e8f658-1557-11ea-8109-baad5fd075dc.
- 01HBRHT17WDBN3P9KEABD0XEJ6 dateCreated "2023-10-02T15:58:45Z".
- 01HBRHT17WDBN3P9KEABD0XEJ6 dateModified "2024-12-12T20:15:36Z".
- 01HBRHT17WDBN3P9KEABD0XEJ6 name "ReCon : reducing congestion in job recommendation using optimal transport".
- 01HBRHT17WDBN3P9KEABD0XEJ6 pagination urn:uuid:80d7a781-3f97-4ac9-b9f6-801c0bb9c8d4.
- 01HBRHT17WDBN3P9KEABD0XEJ6 publisher urn:uuid:42b73ddf-426c-4b85-8f32-5c7272cd511d.
- 01HBRHT17WDBN3P9KEABD0XEJ6 sameAs LU-01HBRHT17WDBN3P9KEABD0XEJ6.
- 01HBRHT17WDBN3P9KEABD0XEJ6 sourceOrganization urn:uuid:ae18e3d5-0402-46ab-902f-b7c7f2ff2d04.
- 01HBRHT17WDBN3P9KEABD0XEJ6 type P1.