Building and Applying an Image Tagging System: Architecture, Tag Design, Algorithms, and Business Use Cases
This presentation by senior data mining manager Zhou Yuanwei of Qunar outlines the architecture of an image tagging platform, the construction of a comprehensive tagging system, common algorithmic tags, and real-world applications such as look‑alike marketing, A/B test efficiency analysis, and business attribution, helping audiences understand tag types, design considerations, and value‑driven use cases.
Speaker: Zhou Yuanwei, Senior Manager of Algorithm & Data Mining at Qunar Technology Operations Center, holds a master's degree in Computer Science from Beijing Jiaotong University and has 10 years of experience in data mining, algorithm development, user profiling, and A/B testing.
Talk Title: "Construction and Practical Application of an Image Tagging System".
Outline:
1. Image Tagging Platform Architecture
2. Image Tagging System Construction
3. Common Algorithmic Image Tags
4. Image Tag Application Deployment
a) Marketing look‑alike application
b) A/B experiment efficiency analysis
c) Business fluctuation attribution analysis
Audience Benefits:
1. Understand common tag types in an image tagging system and key planning points.
2. Learn case studies of algorithmic tag construction.
3. Discover how image tags create business value, accelerate A/B test analysis, and enable precise business attribution.
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