Sparrho
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]
Created by | Vivian Chan, Nilu Satharasinghe |
---|---|
URL | www.sparrho.com |
Written in | Clojure[1] |
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]
References
- "Sparrho's technology stack". StackShare.
- "About Sparrho". Sparrho.
- "Sparrho: the discovery platform with a bird's eye view on science". Oxbridge Biotech Roundtable.
- "INTERVIEW: Content Recommendation Platform Sparrho Talks Staying On Top Of Science". StrategyEye - Digital Media.
- "Peeking under the hood: Sparrho's Discovery Engine". Sparrho.
- 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. arXiv:1707.00195. doi:10.1145/3110025.3120993. ISBN 978-1-4503-4993-2.
- "Sparrho - How does our recommendation engine for science work?". Sparrho.
- Nicola Davis. "Cambridge's leading tech startups". The Guardian.
- "Why EF". ef.
- "How to tame the flood of literature". Nature News & Comment.
- "Sparrho finds a new nest!". Sparrho.
- "Tech Pitch: Sparrho". Startups.co.uk.
- "This Search Engine Uses AI to Keep Scientists Updated". SHACK15 News.
- "National Business Awards 2014 - Finalists". nationalbusinessawards.co.uk.
- "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.
- "I've never been regarded as weak' - 35 Women Under 35 2015". Management Today.
- "Sparrho will attend Pitch@Palace 5.0 hosted by HRH The Duke of York at St James Palace on 7th March 2016". Sparrho.
- "Sparrho raises $3 million to democratize access to science research". VentureBeat.
- "Diving into the haystack to make more hay?". plos.org.
- "PubChase - discover life sciences research of interest to you". PubChase.
- "Scizzle - Frequently Asked Questions". Scizzle.