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We explore the information seeking behaviour of the recruiters while they search to find candidate job seekers that match the open positions posted by the organizations. We perform a set of contextual inquiries with recruiters at one of Scandinavia's largest job portals and recruitment agencies by using its job database system. We aim to better understand short-term (matching) and long-term (recruitment) information seeking behaviour of the recruiters and their interaction with the search engine based on Solr. Based on the conducted contextual inquiries, we list a set of design implications to be used for better matching systems that can assist the recruiters to find more relevant candidates.
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2021|
|Event||2021 Workshop on Recommender Systems for Human Resources, RECSYS IN HR 2021 - Amsterdam, Netherlands|
Duration: 27 Sep 2021 → 1 Oct 2021
|Conference||2021 Workshop on Recommender Systems for Human Resources, RECSYS IN HR 2021|
|Period||27/09/2021 → 01/10/2021|
Bibliographical noteThis research was supported by the Innovation Fund Denmark, grant no. 0175-000005B. We thank Qiuchi Li for his contributions during the contextual inquiries. We also thank the Jobindex recruiters who participated in our contextual inquiries.
- information seeking
- job recommendation
- professional search
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RecSys in HR 2021: Workshop on Recommender Systems for Human Resources
Toine Bogers (Organizer) & Mesut Kaya (Organizer)2 Oct 2021
Activity: Attending an event › Organisation or participation in workshops, courses, or seminars
15th ACM Conference on Recommender Systems
Toine Bogers (Participant)25 Sep 2021 → 2 Oct 2021
Activity: Attending an event › Conference organisation or participation