Garvit-Varshney20/AI-Research-Paper-Recommendation-System

  • 类型:github
  • 标识:Garvit-Varshney20/AI-Research-Paper-Recommendation-System
  • 链接:https://github.com/Garvit-Varshney20/AI-Research-Paper-Recommendation-System
  • 主分类:rag
  • 形态:app
  • 分类:academic-writing
  • Stars:0
  • 周增:+0
  • 最近提交:2026-08-24
  • 简介:An AI-powered system that recommends relevant research papers using NLP and semantic embeddings (SciBERT/SPECTER). Users input a paper or keywords and receive ranked, context-aware suggestions—solving information overload from keyword-based search and speeding up academic literature discovery.
  • 上次采集:2026-08-26
  • 首次采集:2026-08-24
  • 学术状态:accepted
  • 学术阶段:discovery
  • 学术主任务:recommendation-graph
  • 学术方向:search
  • 学术用途:literature-discovery
  • 能力分面:writing
  • 学术相关度:90
  • 学术判定:deterministic
  • 学术证据:anchor:paper; anchor:academic; anchor:research; anchor:literature; query:paper-recommendation; task:recommendation-graph:paper recommendation
  • 学术复核时间:2026-08-26T01:30:01+08:00
  • 待LLM分类:否
  • 成熟度:experimental
  • 简介中文:基于 NLP 与语义嵌入(SciBERT/SPECTER)的 AI 论文推荐系统。用户输入论文或关键词,即可获得排序后的上下文相关推荐,解决关键词检索造成的信息过载,加速学术文献发现。
  • 来源文件
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