• About
    • About
    • News
  • STM Publishing
  • Healthcare
  • Careers
Home > News > Parity Computing Announces Industry Leading Journal Recommendation System

News

Parity Computing Announces Industry Leading Journal Recommendation System

August 5, 2015

New software helps researchers target their manuscripts

San Diego, CA – Parity Computing today announced the launch of Parity Journal Sense™, a powerful new recommendation system for helping science, technology, and medical (STM) researchers identify the most suitable journal for publishing their manuscripts.

Journal Sense users submit keywords, an abstract, or the entire text of their unpublished manuscript, and obtain a ranked list of journal recommendations. Journal Sense achieves industry leading relevance accuracy, which is significantly higher than simpler keyword matching solutions, and can often recommend relevant journals that authors may not be familiar with or did not realize would be suitable for their research.

“The accuracy of our system has been evaluated by third-parties via both automated roll-back-the-clock tests and manual expert assessments”, said Dr. Mark Land, Parity’s Chief Scientist for STM Analytics. “A simple way to summarize the results is that Journal Sense is roughly four times as accurate as straightforward keyword matching, and is also significantly more accurate than any other available system for which accuracy numbers have been reported”.

Journal Sense is built on Parity’s Semantic Profiling Engine™, which quantitatively characterizes (profiles) both the manuscript and the candidate set of journals. “We use a carefully optimized mix of features, term normalization, and a proprietary Parity weighting function to generate term vectors for both queries and journals, and then compute match scores”, said Dr. Aditya Sehgal, Parity’s Director of Research and New Products.

The Journal Sense recommendation engine is deployed for customers as a Software-as-a-Service (SaaS) application, and interfaces easily with any front end system. The SaaS offering is accompanied by Parity’s index of the MEDLINE corpus, and can also be integrated with customer-owned content upon request.

About Parity Computing Parity provides powerful data mining, analytics, and decision-support systems to publishers and enterprises in the science, technology, and medical (STM) industry.

Get More Information

  • This field is for validation purposes and should be left unchanged.

Contact

Corporate Headquarters
6160 Lusk Boulevard, Suite C205
San Diego, CA 92121
+1 (858) 535-0516
info@paritycomputing.com

© 2021 Parity Computing. All rights reserved. Privacy Policy.

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.

SAVE & ACCEPT