# shenweichen/AlgoNotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合  计算广告，大数据，图算法，NLP&CV，求职面试 等内容

Repository: https://github.com/shenweichen/AlgoNotes
Canonical: https://ross.abutalabs.com/products/algonotes
License Family: other
Last push: 2022-12-24T12:35:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2149, "days_push": 1348, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1835, forks 243 (observed 2026-08-28T04:05:42.557949+00:00)

## What it is
A curated collection of articles from the 'Qianmeng Learning Notes' WeChat public account, covering ranking and CVR prediction, recall and matching, user profiling, feature engineering, computational advertising, big data, graph algorithms, NLP, CV, and job interview preparation. It serves as an index of links to technical write-ups on recommender systems and search from industry practitioners.

## Use cases
- learn recommender system ranking techniques
- study CTR and CVR prediction models
- prepare for machine learning algorithm interviews
- find industry case studies on search and recommendation
- learn about recall and matching algorithms
- read articles on feature engineering and user profiling

## When to choose
- you want curated Chinese-language articles on recommendation and search algorithms
- you are preparing for ML/recommender system job interviews
- you want industry practice write-ups from companies like Alibaba, JD, Meituan, and Kuaishou

## When to avoid
- you need runnable code or a software library
- you need English-language learning materials
- you need up-to-date content, as the collection was last updated in late 2022

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, data-science, machine-learning, nlp, computer-vision
- domain: machine-learning, data-science, tutorials, awesome-lists, computer-vision
- platform: -
- tags: recommender-systems, ctr-prediction, learning-notes, article-collection, interview-preparation, computational-advertising, graph-algorithms, big-data, chinese-content, natural-language-processing, web-server

## Member repositories
- shenweichen/AlgoNotes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.557949+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 2026-08-30T03:18:32.634617+00:00, confidence not recorded.
  - readme: https://github.com/shenweichen/AlgoNotes (fetched 2026-08-28T04:05:42.557949+00:00, sha b585eb33cf27)
- Data as of 2026-08-30T08:39:29.467469+00:00.