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. As a result, it is increasingly difficult for researchers to keep an overview over the current state-of-the-art. 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 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 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