%0 Conference Paper %1 Guti_rrez_2019 %A Gutiérrez, Francisco %A Charleer, Sven %A Croon, Robin De %A Htun, Nyi Nyi %A Goetschalckx, Gerd %A Verbert, Katrien %B Proceedings of the 13th ACM Conference on Recommender Systems %D 2019 %I ACM %K dashboard information-exploration interactive-recommender job-recommender recommender recsys2019 %P 60-68 %R 10.1145/3298689.3347001 %T Explaining and exploring job recommendations %U https://doi.org/10.1145%2F3298689.3347001 %X The dynamics of the labor market and the tasks with which jobs are being composed are continuously evolving. Job mobility is not evident, and providing effective recommendations in this context has also been found to be particularly challenging. In this paper, we present Labor Market Explorer, an interactive dashboard that enables job seekers to explore the labor market in a personalized way based on their skills and competences. Through a user-centered design process involving job seekers and job mediators, we developed this dashboard to enable job seekers to explore job recommendations and their required competencies, as well as how these competencies map to their profile. Evaluation results indicate the dashboard empowers job seekers to explore, understand, and find relevant vacancies, mostly independent of their background and age.

@inproceedings{Guti_rrez_2019, abstract = {The dynamics of the labor market and the tasks with which jobs are being composed are continuously evolving. Job mobility is not evident, and providing effective recommendations in this context has also been found to be particularly challenging. In this paper, we present Labor Market Explorer, an interactive dashboard that enables job seekers to explore the labor market in a personalized way based on their skills and competences. Through a user-centered design process involving job seekers and job mediators, we developed this dashboard to enable job seekers to explore job recommendations and their required competencies, as well as how these competencies map to their profile. Evaluation results indicate the dashboard empowers job seekers to explore, understand, and find relevant vacancies, mostly independent of their background and age. }, added-at = {2020-12-03T04:54:27.000+0100}, author = {Guti{\'{e}}rrez, Francisco and Charleer, Sven and Croon, Robin De and Htun, Nyi Nyi and Goetschalckx, Gerd and Verbert, Katrien}, biburl = {https://www.bibsonomy.org/bibtex/28076db203f0a486889ebb1875882ee02/brusilovsky}, booktitle = {Proceedings of the 13th {ACM} Conference on Recommender Systems}, description = {Explaining and exploring job recommendations | Proceedings of the 13th ACM Conference on Recommender Systems}, doi = {10.1145/3298689.3347001}, interhash = {84bce20cf57464d138b2d15cc16511c7}, intrahash = {8076db203f0a486889ebb1875882ee02}, keywords = {dashboard information-exploration interactive-recommender job-recommender recommender recsys2019}, month = sep, pages = {60-68}, publisher = {{ACM}}, timestamp = {2022-11-06T03:26:38.000+0100}, title = {Explaining and exploring job recommendations}, url = {https://doi.org/10.1145%2F3298689.3347001}, year = 2019 }