Sparrho

Sparrho
Created by Vivian Chan, Nilu Satharasinghe
Website www.sparrho.com
Written in Clojure[1]

Sparrho combines human and artificial intelligence to help research professionals and layman users stay up-to-date with new scientific publications and patents.[2] Sparrho's recommendation engine provides personalized scientific news-feeds by using proprietary machine learning algorithms to "aggregate, distill and recommend" relevant content.[3] The platform aims to complement traditional methods of finding relevant academic material such as Google Scholar and PubMed 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.[4]

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.[5] 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.[6]

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.[7][8][9] Initially established at Ideaspace in West Cambridge, and moving subsequently to Camden Collective[10] and the Ministry of Startups[11] in London, the company is now based in the data science hub SHACK15 in Shoreditch, London.[12]

In 2014, Chan was a semi-finalist for the 2014 Duke of York New Entrepreneur of the Year Award,[13][14] and in 2015, Chan was included on the 35 Women Under 35 list compiled by Management Today.[15] In 2016, Sparrho was a semi-finalist in Pitch@Palace 5.0.[16]

As of July 2017, Sparrho has raised $3 million from investors including White Cloud Capital, AllBright, and Beast Ventures.[17]

Competitors

Sparrho's primary competitors within the academic content recommendation field include PubChase and Scizzle,[9][18] though both PubChase and Scizzle are targeted towards biomedical sciences and solely recommend academic journal papers.[19][20]

References

  1. ↑ "Sparrho's technology stack". StackShare.
  2. ↑ "About Sparrho". Sparrho.
  3. ↑ "Sparrho: the discovery platform with a bird's eye view on science". Oxbridge Biotech Roundtable.
  4. ↑ "INTERVIEW: Content Recommendation Platform Sparrho Talks Staying On Top Of Science". StrategyEye - Digital Media.
  5. ↑ "Peeking under the hood: Sparrho's Discovery Engine". Sparrho.
  6. ↑ "Sparrho - How does our recommendation engine for science work?". Sparrho.
  7. ↑ Nicola Davis. "Cambridge's leading tech startups". The Guardian.
  8. ↑ "Why EF". ef.
  9. 1 2 "How to tame the flood of literature". Nature News & Comment.
  10. ↑ "Sparrho finds a new nest!". Sparrho.
  11. ↑ "Tech Pitch: Sparrho". Startups.co.uk.
  12. ↑ "This Search Engine Uses AI to Keep Scientists Updated". SHACK15 News.
  13. ↑ "National Business Awards 2014 - Finalists". nationalbusinessawards.co.uk.
  14. ↑ "Vivian Chan of Sparrho one of ten semi-finalists competing for the Duke of York New Entrepreneur of the Year Award next week". Cambridge News.
  15. ↑ "I've never been regarded as weak' - 35 Women Under 35 2015". Management Today.
  16. ↑ "Sparrho will attend Pitch@Palace 5.0 hosted by HRH The Duke of York at St James Palace on 7th March 2016". Sparrho.
  17. ↑ {{cite https://venturebeat.com/2017/07/10/sparrho-raises-3-million-to-democratize-access-to-scientific-research/|title=Sparrho raises $3 million to democratize access to science research|work=VentureBeat}}
  18. ↑ "Diving into the haystack to make more hay?". plos.org.
  19. ↑ "PubChase - discover life sciences research of interest to you". PubChase.
  20. ↑ "Scizzle - Frequently Asked Questions". Scizzle.
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