Computational Jobs Marketplace
Online job marketplaces such as Indeed.com, CareerBuilder and LinkedIn Inc. are helping millions of job seekers find their next jobs while thousands of corporations, as well as institutions, fill their opening positions at the same time. On top of that, the global pandemic COVID-19 in 2020 up till now has profoundly transformed workplaces, creating and driving remote work environments around the world. While this emerging industry generates tremendous growth in the past several years, technological innovations around this industry have yet to come. In this talk, I will discuss how different technologies, such as search systems, recommender systems as well as advertising systems that the industry heavily relies on are deeply rooted in their more generic counterparts, which may not address unique challenges in this industry and therefore hindering possibly better products serving both job seekers and recruiters. In addition, observations and evidence indicate that users, including job seekers, recruiters, as well as advertisers, have different behaviors on these novel two-sided marketplaces, calling for a better systematic understanding of users in this new domain.
Liangjie Hong is a Director of Engineering, AI at LinkedIn Corporation, leading multiple teams of ML engineers and applied researchers to drive AI solutions for Talent Solutions and LinkedIn China since 2020. Previously, he was a Director of Engineering, Data Science and Machine Learning at Etsy Inc between 2016 and 2020 and worked as a Senior Manager of Research at Yahoo Research from 2013 to 2016. Prior to Yahoo Research, he obtained his Ph.D. in Machine Learning from Lehigh University in 2013.