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Recommender systems are increasingly used in more high risk application domains, including in the domain of Human Resources (HR). These recommender systems help end-users find relevant vacancies out of an abundant overload of available vacancies, but also support other important objectives such as job mobility. Despite the use in industry applications, there are several research challenges associated to such objectives that have not yet been addressed in detail in this context, such as supporting end-users to steer the recommendation process with input and feedback and increasing diversity of recommendations. The goal of our workshop is to build a strong research capacity around recommender systems for HR to address these challenges. This paper describes the goal and activities of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021), organized at the 15th ACM Conference on Recommender Systems. Date : 10--14 September, 2021. Website : https://foo2021.net. |
