RRepoGEO

REPOGEO REPORT · LITE

Doragd/Algorithm-Practice-in-Industry

Default branch main · commit 1ff310da · scanned 5/19/2026, 5:57:52 PM

GitHub: 4,447 stars · 476 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Doragd/Algorithm-Practice-in-Industry, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify repository's core function in README introduction

    Why:

    CURRENT
    # Algorithm-Practice-in-Industry
## 仓库介绍
**一开始这个仓库是做如下内容：**
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
    COPY-PASTE FIX
    Insert the following sentence directly below the `# Algorithm-Practice-in-Industry` heading: 'This repository serves as a comprehensive, curated collection of industry practice articles and a research paper tracking bot, specifically focused on Search, Recommendation, Advertising (SRA), and User Growth algorithms.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    search-algorithms, recommendation-systems, advertising-algorithms, user-growth, machine-learning, research-papers, arxiv-bot, github-actions, curated-list, industry-practice, data-science
  • mediumhomepage#3
    Add a relevant homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/doragd/paperreading

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Doragd/Algorithm-Practice-in-Industry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Netflix TechBlog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Netflix TechBlog · recommended 1×
  2. Amazon Science · recommended 1×
  3. Amazon AWS Machine Learning Blog · recommended 1×
  4. Google AI Blog · recommended 1×
  5. Google Research Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find real-world examples and articles for search and recommendation algorithms?
    you: not recommended
    AI recommended (in order):
    1. Netflix TechBlog
    2. Amazon Science
    3. Amazon AWS Machine Learning Blog
    4. Google AI Blog
    5. Google Research Blog
    6. Spotify Engineering Blog
    7. Towards Data Science
    8. RecSys (ACM Conference on Recommender Systems) Proceedings
    9. Kaggle Learn
    10. Kaggle Competitions

    AI recommended 10 alternatives but never named Doragd/Algorithm-Practice-in-Industry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to automatically track and get daily updates on new machine learning research papers?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Feedly
    3. Inoreader
    4. Semantic Scholar
    5. Connected Papers
    6. Paper with Code
    7. Twitter (X)
    8. The Batch (DeepLearning.AI)
    9. Import AI (Jack Clark)
    10. Two Minute Papers (YouTube Channel)
    11. ResearchGate
    12. Academia.edu

    AI recommended 12 alternatives but never named Doragd/Algorithm-Practice-in-Industry. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Doragd/Algorithm-Practice-in-Industry?
    pass
    AI named Doragd/Algorithm-Practice-in-Industry explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Doragd/Algorithm-Practice-in-Industry in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Doragd/Algorithm-Practice-in-Industry — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Doragd/Algorithm-Practice-in-Industry solve, and who is the primary audience?
    pass
    AI did not name Doragd/Algorithm-Practice-in-Industry — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Doragd/Algorithm-Practice-in-Industry — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite