# weiweifan/Big-Data-Resources

大数据/数据挖掘/推荐系统/机器学习相关资源

Repository: https://github.com/weiweifan/Big-Data-Resources
Canonical: https://ross.abutalabs.com/products/big-data-resources
License Family: other
Last push: 2019-10-14T03:37:14+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": 4553, "days_push": 2515, "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 1414, forks 949 (observed 2026-08-28T04:04:39.652790+00:00)

## What it is
A curated list of learning resources for big data, data mining, recommender systems, and machine learning, including videos, books, blogs, open-source projects, and articles. It is primarily a link collection in Chinese rather than runnable software.

## Use cases
- find machine learning video courses and lectures
- discover recommender system open-source libraries
- learn data mining from beginner resources
- find blogs about recommendation engines and NLP
- get books and slides on big data and machine learning

## When to choose
- you want a curated starting point for learning big data and recommender systems
- you prefer Chinese-language learning materials

## When to avoid
- you need maintained, up-to-date resources (last updated 2019)
- you want runnable code or a software tool
- you need English-only materials

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, data-science, nlp
- domain: machine-learning, data-science, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, recommender-systems, big-data, chinese-language, curated-links

## Member repositories
- weiweifan/Big-Data-Resources (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:39.652790+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 2026-08-30T04:38:14.757531+00:00, confidence not recorded.
  - readme: https://github.com/weiweifan/Big-Data-Resources (fetched 2026-08-28T04:04:39.652790+00:00, sha e36cf5ac98f2)
- Data as of 2026-08-30T08:39:29.467469+00:00.