May 15, 2021

Research Article: (Preprint): “SciReader: A Cloud-based Recommender System for Biomedical Literature”

The following preprint was recently posted on bioRxiv.

Title
SciReader*: A Cloud-based Recommender System for Biomedical Literature

Authors

Priya Desai
Stanford University

Natalie Telis
Stanford University

Ben Lehmann
University of Santa Cruz

Keith Bettinger
Stanford University

Jonathan K. Pritchard
Stanford University

Somalee Datta
Stanford University

Source

via BioRxiv
May 30, 2018
DOI: 10.1101/333922

Abstract

2018-05-31_19-44-43With the growing number of biomedical papers published each year, keeping up with relevant literature has become increasingly important, and yet more challenging. SciReader www.scireader.com is a cloud-based personalized recommender system that specifically aims to assist biomedical researchers and clinicians identify publications of interest to them. SciReader uses topic modeling and other machine learning algorithms to provide users with recommendations that are recent, relevant, and of high quality.

Direct to Full Text Article
8 pages; PDF.

Demo SciReader

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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