Meituan Technology Team
Oct 12, 2017 · Artificial Intelligence
Machine Learning Q&A: Data Imputation, Feature Selection, Recommendation Systems and More
The article answers ten machine‑learning questions, explaining how to impute missing behavior data, extract and select features, describe Meituan‑Dianping’s recommendation pipeline, suggest a beginner learning path, clarify L1 sparsity, recommend TextCNN for text, discuss search‑ranking sample bias, label generation for wide‑deep models, the shift to deep‑learning video detection, and the use of factorization machines for CTR with open‑source examples.
Deep LearningL1 RegularizationRecommendation Systems
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