在 Dcard 我們如何用 Python 打造推薦系統

陳子元

陳子元

我是陳子元,現職為 Dcard 的機器學習工程師。一開始以為自己想做研究,曾在中研院的自然語言處理實驗室擔任研究助理,後來發現當工程師還是比較有趣於是成為了一個機器學習工程師,對自然語言處理、推薦系統以及資料工程都有興趣。

    摘要

    At our Dcard ML team, we rely on Python to create our recommendation system. In addition to the data science and modeling stages, we also use Python to build the program responsible for handling requests in real-world usage. To ensure our program's robustness, we incorporate various features of the Python ecosystem, such as abstract classes, in multiple areas. Today, we are excited to share how we utilize these features at different stages of the ML lifecycle. We'll also discuss any challenges we encountered and how we overcame them, as well as any best practices we learned along the way.

    說明

    地點

    R1

    時間

    第二天 • 10:40-11:25 (GMT+8)

    語言

    中文演講/英文投影片

    層級

    中階

    分類

    機器學習