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yeah so today iamp;#39;ll be talking about using document embeddings and recommendation systems uh yeah the topic actually uh changed from what it was before and due to something out of my control so sorry for that um yeah so uh basically uh here are the topics iamp;#39;m going to cover today um so thereamp;#39;s actually a couple of kind of basic concepts that we need to cover before we can talk holistically about using documented embeddings and recommender systems so weamp;#39;ll give a brief intro to these concepts um and yeah just um as aki mentioned please feel free to interrupt with questions uh if you donamp;#39;t understand something or have like some kind of a helpful comment uh yeah so just a quick uh self intro so iamp;#39;m currently iamp;#39;m a data science manager at indeed iamp;#39;m working on recommendation systems uh and previously i did analytics and machine learning goals at google supercell and smart news or japanese news startup uh and actually most of my