TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
Denis Baylor (Google Inc.);Eric Breck (Google Inc.);Heng-Tze Cheng (Google Inc.);Noah Fiedel (Google Inc.);Chuan Yu Foo (Google Inc.);Zakaria Haque (Google Inc.);Salem Haykal (Google Inc.);Mustafa Ispir (Google Inc.);Vihan Jain (Google Inc.);Levent Koc (Google Inc.);Chiu Yuen Koo (Google Inc.);Lukasz Lew (Google Inc.);Clemens Mewald (Google Inc.);Akshay Modi (Google Inc.);Neoklis Polyzotis (Google
Google Vizier: A Service for Black-Box Optimization
Daniel Golovin (Google, Inc.);Benjamin Solnik (Google, Inc.);Subhodeep Moitra (Google, Inc.);Greg Kochanski (Google, Inc.);John Karro (Google, Inc.);D. Sculley (Google, Inc.) Abstract Any sufficiently complex system acts as a black box when it becomes easier to experiment with than to understand. Hence, black-box optimization has become increasingly important as systems have become more complex. I
Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to R
Home / Topics Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank Corey Lynch, ; Kamelia Aryafar*, Etsy Inc.; Josh Attenberg, Etsy Abstract Search is at the heart of modern e-commerce. As a result, the task of ranking search results automatically (learning to rank) is a multibillion dollar machine learning problem. Traditional models optimize ove
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Precise item categorization is a key issue in e-commerce domains. However, it still remains a challenging problem due to data size, category skewness, and noisy metadata. Here, we demonstrate a successful report on a deep learning-based item categorization method, i.e., deep categorization network (DeepCN), in a
ACM SIGKDD: Welcome
SIGKDD Sig·K·D·D \ˈsig-kā-dē-dē\ Noun (20 c) 1: The Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining. 2: The community for data mining, data science and analytics Our Mission SIGKDD's mission is to provide the premier forum for advancement, education, and adoption of the "science" of knowledge discovery and data mining from all types of data store
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The Recommender Problem Revisited
