RRepoGEO

REPOGEO REPORT · LITE

Doragd/Algorithm-Practice-in-Industry

Default branch main · commit 858fe16a · scanned 7/1/2026, 3:22:47 AM

GitHub: 4,506 stars · 484 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to highlight current automated features

    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
    # Algorithm-Practice-in-Industry

## 仓库介绍

这是一个自动化工具，用于跟踪、总结和推送搜索、推荐、广告、用增等领域的最新研究论文（如arXiv、顶会）和工业界实践文章。它利用大模型进行论文粗排、精排和摘要翻译，并支持飞书群推送，帮助用户高效获取行业前沿动态。

**最初，这个仓库是作为以下内容的收集平台：**

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）
  • mediumabout#2
    Update the repository description to reflect current automated features

    Why:

    CURRENT
    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
    自动化跟踪、总结和推送搜索、推荐、广告、用增等领域的最新研究论文（arXiv、顶会）和工业界实践文章，利用大模型进行论文处理和飞书群推送。

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
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar Alerts · recommended 1×
  3. ACM RecSys · recommended 1×
  4. KDD · recommended 1×
  5. WWW · recommended 1×
  • CATEGORY QUERY
    How to efficiently track new research papers and industry practices in recommendation systems?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar Alerts
    3. ACM RecSys
    4. KDD
    5. WWW
    6. NeurIPS
    7. ICML
    8. WSDM
    9. Twitter
    10. LinkedIn
    11. Netflix
    12. Amazon
    13. Google
    14. Meta
    15. Spotify
    16. ByteDance
    17. Medium
    18. Substack
    19. Papers With Code

    AI recommended 19 alternatives but never named Doragd/Algorithm-Practice-in-Industry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help compile and summarize top AI conference papers for information retrieval?
    you: not recommended
    AI recommended (in order):
    1. Connected Papers
    2. ResearchRabbit
    3. Semantic Scholar
    4. Elicit
    5. Scite.ai
    6. ChatGPT
    7. GPT-4
    8. Zotero
    9. Mendeley

    AI recommended 9 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 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?

  • If a team adopts Doragd/Algorithm-Practice-in-Industry in production, what risks or prerequisites should they evaluate first?
    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?

  • 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