# HIT-Alibaba/interview

笔试面试知识整理

Repository: https://github.com/HIT-Alibaba/interview
Canonical: https://ross.abutalabs.com/products/hit-alibaba-interview
Homepage: https://hit-alibaba.github.io/interview/index.html
Language: Shell
License Family: other
Topics: interview, interview-preparation
Archived: true
Last push: 2020-08-31T08:13:25+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4232, "days_push": 2193, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5253, forks 920 (observed 2026-08-28T04:09:13.716791+00:00)

## What it is
A GitBook-based collection of study notes for technical written tests and interviews, originally compiled by HIT students targeting Alibaba. It covers computer science fundamentals and is readable online in Chinese.

## Use cases
- prepare for a software engineering interview
- review CS fundamentals before a written test
- find a Chinese-language interview study guide
- brush up on algorithms and system basics before campus recruiting

## When to choose
- you want a free, structured Chinese-language interview prep document
- you are a student reviewing CS fundamentals for written exams

## When to avoid
- you need up-to-date content on modern tooling or recent interview trends
- you need an English-language resource
- you need interactive practice or coding challenges rather than notes

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, developer-tools, education
- platform: -
- tags: interview-preparation, gitbook, chinese, technical-interview, study-notes, web-server

## Member repositories
- HIT-Alibaba/interview (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.716791+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:59:33.328994+00:00, confidence not recorded.
  - readme: https://github.com/HIT-Alibaba/interview (fetched 2026-08-28T04:09:13.716791+00:00, sha 3d2319ffd6f5)
  - homepage: https://hit-alibaba.github.io/interview/index.html (fetched 2026-08-29T08:54:33.148366+00:00, sha 9b27a8f21fa9)
- Data as of 2026-08-30T08:39:29.467469+00:00.