wangshusen/SearchEngine resource
搜索引擎原理 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1403
- days_rel: n/a
- days_push: 866
- n_releases_24m: 0
Adoption not part of the score
1909 stars · 162 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An educational repository of slides and video lectures (in Chinese) covering search engine technology, from basics and relevance ranking to query processing, recall, and query suggestion. It is a course/learning resource, not runnable software.
Use cases
- learn how search engines work
- understand inverted index and vector recall
- study relevance ranking with BERT models
- learn query understanding and intent recognition
- prepare for search engine engineering interviews
When to choose
- you want a structured course on search engine principles with slides and videos
- you are learning information retrieval concepts in Chinese
When to avoid
- you need a working search engine implementation or library
- you need English-language materials
Facets
learning-resource · maturity active
search-engine nlp machine-learning education tutorials cross-platform search-engine-course information-retrieval slides video-lectures chinese-language search natural-language-processing
1 source
- readme: https://github.com/wangshusen/SearchEngine · fetched 2026-08-28 · c4296db6f60f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wangshusen/SearchEngine | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="wangshusen/SearchEngine")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem