Scholar Inbox - Your Personal Paper Recommender

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Andreas Geiger

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Jan 15, 2024, 1:54:31 PM1/15/24
to Machine Learning News
The body of scientific literature is growing at an ever-increasing rate. Especially in the field of artificial intelligence (AI), the number of publications is growing every month with currently more than 300 new papers every day. The situation is similar in other fields of science such as astronomy with more than 41.000 new articles per year. As a result, it is increasingly difficult for researchers to keep an overview over the current state-of-the-art with the consequence that nearly identical research is advanced in parallel, relevant references are overlooked, or important connections between methods are ignored. While a number of tools simplify literature retrieval today, none of them is able to deliver accurate personalized recommendations with high recall on a daily basis.

This motivated us to develop scholar-inbox.com, a personal paper recommendation system which enables researchers to stay up-to-date with the most relevant progress by delivering personal suggestions directly to your inbox - free of charge. scholar-inbox.com learns which papers you like and dislike and recommends papers to you that are similar to papers you like based on neural language processing techniques. scholar-inbox.com focuses entirely on the written contents and hence also suggests relevant papers that don't receive social media hype.

https://www.scholar-inbox.com/
https://sites.google.com/view/avg-blog/scholar-inbox/

We hope that you will find this tool as useful as we find it ourselves!

Andreas Geiger & Scholar Inbox Team
University of Tübingen
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