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'''Sparrho''' combines human and [[artificial intelligence]] to help research professionals and layman users stay up-to-date with new scientific publications and patents.<ref>{{cite web|url=http://blog.sparrho.com/about|title=About Sparrho|work=Sparrho}}</ref> Sparrho's recommendation engine provides personalized scientific news-feeds by using proprietary [[machine learning]] algorithms to "aggregate, distill and recommend" relevant content.<ref>{{cite web|url=http://www.oxbridgebiotech.com/review/business-development/sparrho-discovery-platform-birds-eye-view-science/|title=Sparrho: the discovery platform with a bird's eye view on science|work=Oxbridge Biotech Roundtable}}</ref> 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 content and across relevant scientific fields.<ref>{{cite web|url=http://digitalmedia.strategyeye.com/article/JhAO5vNc8Vg/2014/09/02/interview_content_recommendation_platform_sparrho_talks_stay/|title=INTERVIEW: Content Recommendation Platform Sparrho Talks Staying On Top Of Science|work=StrategyEye - Digital Media}}</ref>
'''Sparrho''' combines human and [[artificial intelligence]] to help research professionals and layman users stay up-to-date with new scientific publications and patents.<ref>{{cite web|url=http://blog.sparrho.com/about|title=About Sparrho|work=Sparrho}}</ref> Sparrho's recommendation engine provides personalized scientific news-feeds by using proprietary [[machine learning]] algorithms to "aggregate, distill and recommend" relevant content.<ref>{{cite web|url=http://www.oxbridgebiotech.com/review/business-development/sparrho-discovery-platform-birds-eye-view-science/|title=Sparrho: the discovery platform with a bird's eye view on science|work=Oxbridge Biotech Roundtable}}</ref> 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 content and across relevant scientific fields.<ref>{{cite web|url=http://digitalmedia.strategyeye.com/article/JhAO5vNc8Vg/2014/09/02/interview_content_recommendation_platform_sparrho_talks_stay/|title=INTERVIEW: Content Recommendation Platform Sparrho Talks Staying On Top Of Science|work=StrategyEye - Digital Media}}</ref>


== Recommendation engine ==
== 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.<ref>{{cite web|url=http://blog.sparrho.com/post/98321187242/peeking-under-the-hood-sparrhos-discovery-engine|title=Peeking under the hood: Sparrho's Discovery Engine|work=Sparrho}}</ref> 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.<ref>{{cite web|url=http://www.sparrho.com/how-it-works/|title=Sparrho - How does our recommendation engine for science work?|work=Sparrho}}</ref>
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.<ref>{{cite web|url=http://blog.sparrho.com/post/98321187242/peeking-under-the-hood-sparrhos-discovery-engine|title=Peeking under the hood: Sparrho's Discovery Engine|work=Sparrho}}</ref> Secondly, "user-user interactions" are utilized to propose a wider range of potentially relevant subject areas to users with similar interests.<ref>{{Cite journal |last=Glenski |first=Maria |last2=Weninger |first2=Tim |date=2017-07-31 |title=Predicting User-Interactions on Reddit |url=https://doi.org/10.1145/3110025.3120993 |journal=Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 |series=ASONAM '17 |location=New York, NY, USA |publisher=Association for Computing Machinery |pages=609–612 |doi=10.1145/3110025.3120993 |isbn=978-1-4503-4993-2}}</ref> Finally, "user-data interactions" such as labeling articles as "relevant" or "irrelevant" within a particular scientific field allows Sparrho to personalize user newsfeeds.<ref>{{cite web|url=http://www.sparrho.com/how-it-works/|title=Sparrho - How does our recommendation engine for science work?|work=Sparrho}}</ref>


== History ==
== History ==

Revision as of 10:57, 21 August 2023

Sparrho
Created byVivian Chan, Nilu Satharasinghe
URLwww.sparrho.com
Written inClojure[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 content and across relevant scientific fields.[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.[6] Finally, "user-data interactions" such as labeling articles as "relevant" or "irrelevant" within a particular scientific field allows Sparrho to personalize user newsfeeds.[7]

History

Sparrho was founded in 2013 by Vivian Chan and Nilu Satharasinghe as a solution to issues Chan encountered over the course of her biochemistry PhD at the University of Cambridge, especially in staying up to date with scientific literature [8][9][10] Initially established at Ideaspace in West Cambridge, and moving subsequently to Camden Collective[11] and the Ministry of Startups[12] in London, the company is now based in the data science hub SHACK15 in Shoreditch, London.[13]

In 2014, Chan was a semi-finalist for the 2014 Duke of York New Entrepreneur of the Year Award,[14][15] and in 2015, Chan was included on the 35 Women Under 35 list compiled by Management Today.[16] In 2016, Sparrho was a semi-finalist in Pitch@Palace 5.0.[17]

As of July 2017, Sparrho has raised $3 million from investors including White Cloud Capital, AllBright, and Beast Ventures.[18]

Competitors

Sparrho's primary competitors are PubChase and Scizzle,[10][19] though both PubChase and Scizzle are targeted towards biomedical sciences and solely recommend academic journal papers.[20][21]

See also

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. ^ Glenski, Maria; Weninger, Tim (31 July 2017). "Predicting User-Interactions on Reddit". Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. ASONAM '17. New York, NY, USA: Association for Computing Machinery: 609–612. doi:10.1145/3110025.3120993. ISBN 978-1-4503-4993-2.
  7. ^ "Sparrho - How does our recommendation engine for science work?". Sparrho.
  8. ^ Nicola Davis. "Cambridge's leading tech startups". The Guardian.
  9. ^ "Why EF". ef.
  10. ^ a b "How to tame the flood of literature". Nature News & Comment.
  11. ^ "Sparrho finds a new nest!". Sparrho.
  12. ^ "Tech Pitch: Sparrho". Startups.co.uk.
  13. ^ "This Search Engine Uses AI to Keep Scientists Updated". SHACK15 News.
  14. ^ "National Business Awards 2014 - Finalists". nationalbusinessawards.co.uk.
  15. ^ "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.
  16. ^ "I've never been regarded as weak' - 35 Women Under 35 2015". Management Today.
  17. ^ "Sparrho will attend Pitch@Palace 5.0 hosted by HRH The Duke of York at St James Palace on 7th March 2016". Sparrho.
  18. ^ "Sparrho raises $3 million to democratize access to science research". VentureBeat.
  19. ^ "Diving into the haystack to make more hay?". plos.org.
  20. ^ "PubChase - discover life sciences research of interest to you". PubChase.
  21. ^ "Scizzle - Frequently Asked Questions". Scizzle.
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