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Tuesday, June 25 • 14:00 - 14:20
Using Machine Learning to recommend jobs in User Cold Start

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Industry still struggles to design recommenders able to provide useful recommendations for users who have not interacted with any item (User Cold Start scenario). In this talk, we will show how to connect new candidates to their desired jobs in one of the main online employment marketplaces in Latin America. The solution involves, first, modeling user and item profiles based on content features and then using Machine Learning to predict interactions between them. A / B testing evidenced the proposed solution is able to enhance user engagement.

avatar for Andryw Marques

Andryw Marques

Data Scientist, SEEK
Andryw Marques is a Data Scientist at Seek-AI GDP team, currently working with projects related to Search and Recommendation for online employment. He has experience in fields such as Machine Learning, Information Retrieval and Data Analysis. Andryw received his Master and Bachelor's... Read More →

Tuesday June 25, 2019 14:00 - 14:20 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil