REPOGEO REPORT · LITE
benedekrozemberczki/awesome-decision-tree-papers
Default branch master · commit 0be555e5 · scanned 5/26/2026, 3:06:52 AM
GitHub: 2,470 stars · 343 forks
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 benedekrozemberczki/awesome-decision-tree-papers, 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.
- highreadme#1Reposition README opening to emphasize 'awesome list' nature
Why:
CURRENTA curated list of classification and regression tree research papers with implementations from the following conferences:
COPY-PASTE FIXThis repository is an **awesome list** of carefully curated research papers on decision, classification, and regression trees, including links to their implementations. It serves as a central resource for researchers and practitioners to discover key advancements from leading conferences.
- hightopics#2Add 'awesome list' specific topics
Why:
CURRENTcart, catboost, classification-model, classification-trees, classifier, decision-tree, decision-tree-classifier, decision-tree-learning, decision-tree-model, ensemble-learning, gradient-boosting, gradient-boosting-machine, lightgbm, machine-learning, machine-learning-research, random-forest, regression-tree, statistical-learning, tree-ensemble, xgboost
COPY-PASTE FIXawesome-list, paper-collection, research-papers, curated-list, decision-tree, machine-learning, ensemble-learning, gradient-boosting, random-forest, xgboost, lightgbm, catboost, classification-trees, regression-trees, statistical-learning, machine-learning-research, cart, classifier, decision-tree-classifier, decision-tree-learning, decision-tree-model, gradient-boosting-machine, tree-ensemble
- mediumhomepage#3Add repository URL to homepage metadata
Why:
COPY-PASTE FIXhttps://github.com/benedekrozemberczki/awesome-decision-tree-papers
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.
- arXiv.org · recommended 1×
- Google Scholar · recommended 1×
- ACM Digital Library · recommended 1×
- IEEE Xplore Digital Library · recommended 1×
- JMLR (Journal of Machine Learning Research) · recommended 1×
- CATEGORY QUERYWhere can I find recent research papers on decision and regression trees?you: not recommendedAI recommended (in order):
- arXiv.org
- Google Scholar
- ACM Digital Library
- IEEE Xplore Digital Library
- JMLR (Journal of Machine Learning Research)
- NeurIPS (Conference on Neural Information Processing Systems) Proceedings
- ICML (International Conference on Machine Learning) Proceedings
AI recommended 7 alternatives but never named benedekrozemberczki/awesome-decision-tree-papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for resources on advanced ensemble learning methods like gradient boosting or random forests.you: not recommendedAI recommended (in order):
- XGBoost (dmlc/xgboost)
- LightGBM (microsoft/LightGBM)
- CatBoost (catboost/catboost)
- scikit-learn (scikit-learn/scikit-learn)
- The Elements of Statistical Learning
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Kaggle Learn Courses
AI recommended 7 alternatives but never named benedekrozemberczki/awesome-decision-tree-papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 benedekrozemberczki/awesome-decision-tree-papers?passAI did not name benedekrozemberczki/awesome-decision-tree-papers — 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 benedekrozemberczki/awesome-decision-tree-papers in production, what risks or prerequisites should they evaluate first?passAI named benedekrozemberczki/awesome-decision-tree-papers 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 benedekrozemberczki/awesome-decision-tree-papers solve, and who is the primary audience?passAI did not name benedekrozemberczki/awesome-decision-tree-papers — 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
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benedekrozemberczki/awesome-decision-tree-papers — 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