Sparrho

Sparrho
Web address www.sparrho.com
Slogan A bird's eye view on science
Created by Vivian Chan, Nilu Satharasinghe

Sparrho is a scientific recommendation engine providing personalized scientific news-feeds by using proprietary machine learning algorithms to "aggregate, distill and recommend" relevant content.[1] The platform aims to complement traditional methods of finding relevant academic material such as Google Scholar with a system which enables the serendipitous discovery of pertinent content and across relevant scientific fields through user input aided machine learning and contextual analysis.[2]

Recommendation engine

Sparrho uses a "three pronged approach" to content recommendation. Firstly, "data-data analysis" is tackled using techniques such as natural language processing to provide appropriate research based on data provided by users.[3] Secondly, "user-user interactions" are utilized to propose a wider range of potentially relevant subject areas to users with similar interests . Finally, "user-data interactions" such as labeling articles as "relevant" or "irrelevant" within a particular scientific field allows Sparrho to personalize user newsfeeds.[4]

History

Sparrho was founded in 2013 by Vivian Chan and Nilu Satharasinghe as a solution to issues in staying up to date with scientific literature encountered over the course of Chan's biochemistry PhD at the University of Cambridge.[5][6][7] Initially established at Ideaspace in West Cambridge, the company offices have now moved to Camden, London.[8] In 2014, Vivian Chan was a semi-finalist for the 2014 Duke of York New Entrepreneur of the Year Award.[9][10]

Competitors

Sparrho's primary competitors within the academic content recommendation field include PubChase and Scizzle,[7][11] though PubChase is targeted towards biomedical sciences [12] and both PubChase and Scizzle solely recommend academic journal papers.[12][13]

References

External links

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