AutoML for Large Capacity Modeling of Meta's Ranking Systems

Web-scale ranking systems at Meta serving billions of users is complex. Improving ranking models is essential but engineering heavy. Automated Machine Learning (AutoML) can release engineers from labor intensive work of tuning ranking models; however, it is unknown if AutoML is efficient enough to m...

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Hauptverfasser:	Yin, Hang, Liu, Kuang-Hung, Sun, Mengying, Chen, Yuxin, Zhang, Buyun, Liu, Jiang, Sehgal, Vivek, Panchal, Rudresh Rajnikant, Hotaj, Eugen, Liu, Xi, Guo, Daifeng, Zhang, Jamey, Wang, Zhou, Jiang, Shali, Li, Huayu, Chen, Zhengxing, Chen, Wen-Yen, Yang, Jiyan, Wen, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Information Retrieval
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