This repository is a comprehensive data pipeline and curation system for academic papers in the fields of search, recommendation, and advertising (known as 搜广推 in Chinese). It consists of three primary automated workflows: daily arXiv paper fetching with LLM-based relevance scoring (rough and fine ranking) and output to HTML/Feishu notifications; conference paper aggregation where metadata from top venues (KDD, SIGIR, RecSys, etc.) is crawled from DBLP/DBLP and stored as markdown tables; and a curated industry practice article index with its own HTML page. All are driven by GitHub Actions and deploy to GitHub Pages. The codebase is functional but exhibits typical research-project messiness: legacy scripts coexist with a newer paperBotV2 refactor, many conference paper tables have incomplete fields (empty abstracts, zero recommendation scores), and the environment relies on unpinned Python package versions and external APIs (DeepSeek, arXiv, DBLP). The arXiv daily pipeline is the most polished component, featuring retry logic, status tracking, and two-stage LLM ranking. Overall, the repo is a pragmatic automation for researchers but not production-grade software.