RRepoGEO

REPOGEO REPORT · LITE

DirtyHarryLYL/HOI-Learning-List

Default branch master · commit d7d2a24b · scanned 6/14/2026, 1:52:44 AM

GitHub: 711 stars · 64 forks

AI VISIBILITY SCORE
28 /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
2 / 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 DirtyHarryLYL/HOI-Learning-List, 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 "HOI" in the README's opening

    Why:

    CURRENT
    # HOI-Learning-List
Some recent (2015-now) Human-Object Interaction Learning studies.
    COPY-PASTE FIX
    # Human-Object Interaction (HOI) Learning List
Some recent (2015-now) Human-Object Interaction (HOI) Learning studies.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0).
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/DirtyHarryLYL/HOI-Learning-List

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 DirtyHarryLYL/HOI-Learning-List
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome-HOI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome-HOI · recommended 1×
  2. Papers With Code · recommended 1×
  3. Google Scholar · recommended 1×
  4. arXiv · recommended 1×
  5. CVPR · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of human-object interaction learning studies?
    you: not recommended
    AI recommended (in order):
    1. Awesome-HOI
    2. Papers With Code
    3. Google Scholar
    4. arXiv
    5. CVPR
    6. ICCV
    7. ECCV
    8. NeurIPS

    AI recommended 8 alternatives but never named DirtyHarryLYL/HOI-Learning-List. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest datasets and benchmarks available for human-object interaction detection?
    you: not recommended
    AI recommended (in order):
    1. HICO-DET
    2. V-COCO
    3. HAKE
    4. SWIG
    5. CAD-120
    6. EPIC-KITCHENS
    7. AVA

    AI recommended 7 alternatives but never named DirtyHarryLYL/HOI-Learning-List. 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 DirtyHarryLYL/HOI-Learning-List?
    pass
    AI did not name DirtyHarryLYL/HOI-Learning-List — 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 DirtyHarryLYL/HOI-Learning-List in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DirtyHarryLYL/HOI-Learning-List 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 DirtyHarryLYL/HOI-Learning-List solve, and who is the primary audience?
    pass
    AI named DirtyHarryLYL/HOI-Learning-List explicitly

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

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DirtyHarryLYL/HOI-Learning-List — 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