Doragd/Algorithm-Practice-in-Industry resource

Health v2 · maintenance only

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Adoption not part of the score

4574 stars · 488 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of industry practice articles, top-conference papers, and blog posts on search, recommendation, and advertising (搜广推) algorithms, plus an automated paper bot. It uses GitHub Actions to fetch daily arXiv papers, rank/translate them with LLMs, generate web pages, and push updates to Feishu groups.

Use cases

• find industry articles on recommendation and search algorithms
• get daily arXiv paper recommendations for information retrieval
• track top-conference papers in RecSys, SIGIR, KDD
• set up a Feishu bot that pushes new ML papers daily
• learn how search, ads, and recommendation systems work in practice

When to choose

• you work in search, recommendation, or advertising and want curated learning material
• you want an automated arXiv digest with LLM-based ranking and translation
• you need a maintained list of top-conference papers in the 搜广推 space

When to avoid

• you need a production recommendation engine or library code
• you want a general-purpose paper tracker outside search/ads/recommendation
• you don't read Chinese, since most curated content is in Chinese

Facets

learning-resource · maturity active

web-scraping nlp machine-learning workflow-automation data-visualization machine-learning tutorials python cli recommendation-systems computational-advertising arxiv-papers feishu-bot curated-list github-actions search-engine natural-language-processing search automation web-server

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markdown · JSON · MCP: product_card(name="Doragd/Algorithm-Practice-in-Industry")