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Syst."],"published-print":{"date-parts":[[2024,1,31]]},"abstract":"<jats:p>Job interviews are the most widely accepted method for companies to select suitable candidates, and a critical challenge is finding the right questions to ask job candidates. Moreover, there is a lack of integrated tools for automatically generating interview questions and recommending the right questions to interviewers. To this end, in this paper, we propose an intelligent system for assisting job interviews, namely, DuerQues. To build this system, we first investigate how to automatically generate skill-oriented interview questions in a scalable way by learning external knowledge from online knowledge-sharing communities. Along this line, we develop a novel distantly supervised skill entity recognition method to identify skill entities from large-scale search queries and web page titles with less need for human annotation. Additionally, we propose a neural generative model for generating skill-oriented interview questions. In particular, we introduce a data-driven solution to create high-quality training instances and design a learning algorithm to improve the performance of question generation. Furthermore, we exploit click-through data from query logs and design a recommender system for recommending suitable questions to interviewers. Specifically, we introduce a graph-enhanced algorithm to efficiently recommend suitable questions given a set of queried skills. Finally, extensive experiments on real-world datasets demonstrate the effectiveness of our DuerQues system in terms of the quality of generated skill-oriented questions and the performance of question recommendation.<\/jats:p>","DOI":"10.1145\/3604552","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T02:56:46Z","timestamp":1686711406000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5354-8630","authenticated-orcid":false,"given":"Chuan","family":"Qin","sequence":"first","affiliation":[{"name":"Career Science Lab, BOSS Zhipin and PBC School of Finance, Tsinghua University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4570-643X","authenticated-orcid":false,"given":"Hengshu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Career Science Lab, BOSS Zhipin"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3947-4153","authenticated-orcid":false,"given":"Dazhong","family":"Shen","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4763-6060","authenticated-orcid":false,"given":"Ying","family":"Sun","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology (Guangzhou)"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2093-1473","authenticated-orcid":false,"given":"Kaichun","family":"Yao","sequence":"additional","affiliation":[{"name":"Institute of Software,Chinese Academy of Sciences"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4569-6085","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"Baidu Talent Intelligence Center"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6016-6465","authenticated-orcid":false,"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, HKUST; Thrust of Artificial Intelligence, HKUST (GZ)"}]}],"member":"320","published-online":{"date-parts":[[2023,8,18]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052583"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-8733(03)00009-1"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488393"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/360825.360855"},{"key":"e_1_3_2_6_2","volume-title":"Proceedings of the 3rd International Conference on Learning Representations","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. 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