Baixing.com Technical Team
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Baixing.com Technical Team

A collection of the Baixing.com tech team's insights and learnings, featuring one weekly technical article worth following.

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Recent Articles

Latest from Baixing.com Technical Team

33 recent articles
Baixing.com Technical Team
Baixing.com Technical Team
Nov 30, 2017 · Artificial Intelligence

How User Profiling Powers Modern Recommendation Systems

This article explains what user profiling is, why it’s crucial for recommendation systems, outlines key dimensions such as personal attributes, status, and interests, describes algorithms like classification and autoregressive models, and details offline and real‑time computation methods, evaluation techniques, and practical examples.

algorithmdata miningmachine learning
0 likes · 11 min read
How User Profiling Powers Modern Recommendation Systems
Baixing.com Technical Team
Baixing.com Technical Team
Nov 29, 2017 · Artificial Intelligence

How Content Features Power Modern Recommendation Systems

Content features transform unstructured entities like articles, images, and videos into structured descriptors—such as categories, tags, and keywords—enabling precise search recall, personalized recommendations, and effective labeling through methods like classification, convergent tags, keyword extraction, and both manual and automated annotation.

automatic annotationcontent featureskeyword extraction
0 likes · 12 min read
How Content Features Power Modern Recommendation Systems
Baixing.com Technical Team
Baixing.com Technical Team
Oct 19, 2017 · Frontend Development

How to Build a Drag‑Drop Site Builder with Vue.js: From Data Model to Rendering

This article explains how to design and implement a Vue.js‑based website builder that lets users create multi‑page sites by dragging modules, covering requirement analysis, JSON data modeling, dynamic component rendering, state management with Vuex, and drag‑and‑drop integration.

Drag and DropFrontend ArchitectureJSON data model
0 likes · 14 min read
How to Build a Drag‑Drop Site Builder with Vue.js: From Data Model to Rendering
Baixing.com Technical Team
Baixing.com Technical Team
Oct 16, 2017 · Backend Development

How We Cut Publishing Latency by 600ms: A Real‑World Backend Optimization Case Study

Through profiling with flame graphs, log analysis, and targeted refactoring—including async task handling, rule‑engine tuning, data‑load reduction, and cache redesign—we reduced the 95th‑percentile publishing latency on Baixing.com from around 3 seconds to under 1 second, achieving near‑instant “second‑post” performance.

PHPcachingflame graphs
0 likes · 18 min read
How We Cut Publishing Latency by 600ms: A Real‑World Backend Optimization Case Study