RRepoGEO

REPOGEO REPORT · LITE

guoday/Tencent2020_Rank1st

Default branch master · commit de07bb11 · scanned 5/21/2026, 8:58:20 PM

GitHub: 1,081 stars · 320 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
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 guoday/Tencent2020_Rank1st, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['tencent-contest', 'algorithm-competition', 'user-profiling', 'age-gender-prediction', 'ad-targeting', 'pytorch', 'machine-learning', 'deep-learning', 'ctr-prediction']
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the MIT License text.
  • mediumreadme#3
    Add a concise English summary to the top of the README

    Why:

    CURRENT
    ## 赛题介绍-广告受众基础属性预估
    COPY-PASTE FIX
    This repository contains the Rank 1st solution for the 2020 Tencent College Algorithm Contest, focusing on predicting user age and gender from their ad click history. It provides a high-performance PyTorch-based deep learning framework for audience demographics prediction and ad targeting.

## 赛题介绍-广告受众基础属性预估

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 guoday/Tencent2020_Rank1st
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
XGBoost
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. XGBoost · recommended 1×
  2. LightGBM · recommended 1×
  3. CatBoost · recommended 1×
  4. Scikit-learn · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How can I accurately predict user age and gender from their ad click history?
    you: not recommended
    AI recommended (in order):
    1. XGBoost
    2. LightGBM
    3. CatBoost
    4. Scikit-learn
    5. TensorFlow
    6. PyTorch

    AI recommended 6 alternatives but never named guoday/Tencent2020_Rank1st. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performance PyTorch framework for predicting audience demographics using ad interactions.
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning (PyTorchLightning/pytorch-lightning)
    2. Catalyst (catalyst-team/catalyst)
    3. Hugging Face Transformers (huggingface/transformers)
    4. fastai (fastai/fastai)
    5. Ignite (pytorch/ignite)

    AI recommended 5 alternatives but never named guoday/Tencent2020_Rank1st. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 guoday/Tencent2020_Rank1st?
    pass
    AI did not name guoday/Tencent2020_Rank1st — 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 guoday/Tencent2020_Rank1st in production, what risks or prerequisites should they evaluate first?
    pass
    AI named guoday/Tencent2020_Rank1st 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 guoday/Tencent2020_Rank1st solve, and who is the primary audience?
    pass
    AI did not name guoday/Tencent2020_Rank1st — 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?

Embed your GEO score

Drop this badge into the README of guoday/Tencent2020_Rank1st. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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guoday/Tencent2020_Rank1st — 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