Co-authors: Yunbo Ouyang,Viral Gupta, Kinjal Basu, Cyrus Diciccio, Brendan Gavin, and Lin Guo. Most large-scale recommender systems like newsfeed ranking, people recommendations, job recommendations, etc., have multiple objectives that need to be simultaneously optimized. These objectives may include things like user engagement, diversity, novelty, freshness, or...
artificial intelligence Articles
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To create a safe and trusted experience for our members, our Trust & Safety (TnS) team strives to keep content that violates our Professional Community Policies off of LinkedIn. In this blog post, we’ll provide insight into how we try to ensure conversations remain respectful and professional on our platform. Content is created and shared on LinkedIn in large...
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Co-authors: Heloise Logan, Preetam Nandy, Kinjal Basu, and Sakshi Jain At LinkedIn, we work constantly to improve our platform with evolving AI models and systems. Delivering fair and equitable experiences for each of our nearly 800M members is paramount to this work, and we have designed our AI systems in ways that help us provide the right protections,...
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Co-authors: Jaewon Yang, Jiatong Chen, and Yanen Li Introduction LinkedIn members are able to enrich their profiles with information...
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Co-authors: Liangjie Hong, Alexandre Patry, Benjamin Le, and Fei Chen Spurred on by the COVID-19 pandemic and the many changes it has...
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Co-authors: Parvez Ahammad, Kinjal Basu, Yazhou Cao, Shaunak Chatterjee, David Durfee, Sakshi Jain, Nihar Mehta, Varun Mithal, and...