Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Derek Cheng

Derek Cheng
Software Engineer, Pinterest

Derek Zhiyuan Cheng is software engineer on the discovery team at Pinterest, where he builds large-scale machine learning models and features to improve Pinterest’s personalization recommendation systems. Previously, he worked at Google Research, where he helped improve personalized search and recommendation systems for Google Play, News, and Google Plus. Derek has authored over 20 peer-reviewed articles published in prestigious conferences and journals for applied machine learning, information retrieval, and data mining. He holds a PhD with a focus on geosocial data mining from Texas A&M University.

Sessions

11:05am–11:45am Tuesday, September 19, 2017
Impact on business and society
Location: Imperial A Level: Intermediate
Secondary topics:  Case studies, Deep learning
Xiaofang Chen (Pinterest), Derek Cheng (Pinterest)
Average rating: ****.
(4.62, 8 ratings)
Pinterest’s power is grounded in its personalization systems. Over the years, these recommender systems have evolved through different types of models. Xiaofang Chen and Derek Cheng explore Pinterest's recent transition from a GBDT system to one based in neural networks powered by TensorFlow, covering the challenges and solutions to providing recommendations to over 160M monthly active users. Read more.