tlysanhuo

tlysanhuo / aminer-rec

Public

Personalized paper recommendation for OpenClaw / Feishu, powered by AMiner + arXiv + LLMs.

14
0
100% credibility
Found Mar 28, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

An open-source tool that recommends recent academic papers by building a user research profile from topics or scholar details, retrieving from arXiv and AMiner, summarizing, and delivering formatted cards for chat apps like Feishu.

How It Works

1
📚 Discover the recommender

You find a helpful tool that suggests the latest research papers based on your interests or favorite scholars.

2
⚙️ Set it up quickly

You prepare the tool by adding a connection to an AI thinker and your research database access.

3
Describe your focus
🔖
Share topics

List areas like 'multimodal agents and tool use' for broad discovery.

👨‍🎓
Name a scholar

Give a researcher's name, school, or key papers for targeted suggestions.

4
🚀 Ask for papers

Send a simple message like 'recommend papers on my topics' and it springs to life.

5
🔍 It searches and thinks

The tool hunts recent papers, adds details, summarizes them, and picks the best fits.

🎉 Get your recommendations

Beautiful cards arrive in your chat with top papers, why they match, and quick links to dive in.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 14 to 14 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is aminer-rec?

A Python tool for personalized paper recommendations in Feishu chats via OpenClaw skills, pulling recent arXiv papers matched to your topics or scholar profile, enriched by AMiner data and summarized with LLMs. Feed it natural language like "multimodal agents and tool use" or an AMiner user ID/scholar details, and it delivers top-5 cards with reasons, authors, and links. Handles cold starts gracefully, outputting structured JSON for custom pipelines.

Why is it gaining traction?

Stands out with dual bootstrap—scholar signals from AMiner for precise cold starts or free-form topics via datacenter segmentation and LLMs—unlike generic arXiv searchers. Feishu/OpenClaw integration means instant chat deployment, portable YAML config for tokens (AMiner, LLM), and fallback modes if services dip. Devs dig the reco aminer org tie-in for academic relevance without building personalized recommendation systems from scratch.

Who should use this?

Academic researchers on Feishu needing quick paper discovery by topic or profile; AI/ML devs prototyping personalized LLM github bots or personalized learning github flows; teams at orgs like Tsinghua wanting AMiner-powered scholar alerts in chat.

Verdict

Solid quickstart and docs make it playable despite 14 stars and 1.0% credibility score—early but functional for Feishu experiments. Fork and tweak if you need a personalized recommendation system github baseline, but watch for production scaling.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.