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

With 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

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