Trending Papers, a PageRank-based tool to find papers worth reading

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The project aims to organize computer science research in a logical, simple, and easy-to-follow way. It is designed to help us find papers worth reading first. I started building Trending Papers because following computer science research has become increasingly hard as the pace of innovation accelerates. The number of new articles on Arxiv has grown at 27% CAGR for the past 20 years. 240 new papers have been filed daily on average over the past 12 months. And the number is growing: last month, there were well over 300 new papers on average every single day. The system is based on some ML/NLP algorithms (the main one is an adapted version of PageRank) - the basics of how it works are described at https://trendingpapers.com/faq . I hope you find it useful. Cheers!

Visit product View on Hacker NewsOct 17, 2023

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