Diyar Mohammadi is a Data Scientist at Divar.ir (an online classified ad service in Iran). I've been using various machine learning approaches to develop valuable products or solve complex problems in Divar's business.
He is interested in learning and experiencing new approaches which lead to expanding my stack in machine learning and having a broader viewpoint toward problems.
Recently Diyar Mohammadi has been working on Multi-modal deep learning models for complex tasks (such as Near-Duplicate Ad Detection and Real-Time Ad Recommender Systems).
Also, he is currently an undergrad student at the University of Tehran studying Computer Engineering.
Near-Duplicate Ads in online listings usually affect both demand-side and supply-side users’ experiences.
Using Machine-Learning and Deep-Learning we tried to detect duplicated ads.
Ideally, people attending the talk are familiar with the basics of machine learning and deep learning.