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'''Sparrho''' |
'''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> |
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== Recommendation engine == |
== Recommendation engine == |
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Sparrho uses a "three |
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 book |last1=Glenski |first1=Maria |last2=Weninger |first2=Tim |title=Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 |chapter=Predicting User-Interactions on Reddit |date=2017-07-31 |chapter-url=https://doi.org/10.1145/3110025.3120993 |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|arxiv=1707.00195 |s2cid=649910 }}</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> |
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== History == |
== History == |
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Sparrho was founded in 2013 by Vivian Chan and Nilu Satharasinghe as a solution to issues |
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 <ref>{{cite news|url=https://www.theguardian.com/technology/2013/dec/01/cambridge-university-internet-tech-startup|title=Cambridge's leading tech startups|author=Nicola Davis|work=The Guardian|date=December 2013 }}</ref><ref>{{cite web|url=http://www.joinef.com/why-ef/|title=Why EF|work=ef.}}</ref><ref name="nature.com">{{cite journal|url=http://www.nature.com/news/how-to-tame-the-flood-of-literature-1.15806|title=How to tame the flood of literature|journal=Nature News & Comment|date=2014 |doi=10.1038/513129a |last1=Gibney |first1=Elizabeth |volume=513 |issue=7516 |pages=129–130 |pmid=25186906 }}</ref> Initially established at Ideaspace in West Cambridge, and moving subsequently to Camden Collective<ref>{{cite web|url=http://blog.sparrho.com/post/100100099802/sparrho-finds-a-new-nest|title=Sparrho finds a new nest!|work=Sparrho}}</ref> and the Ministry of Startups<ref>{{cite web|url=http://startups.co.uk/tech-pitch-sparrho/|title=Tech Pitch: Sparrho|work=Startups.co.uk}}</ref> in London, the company is now based in the data science hub SHACK15 in Shoreditch, London.<ref>{{cite web|url=http://news.shack15.com/this-search-engine-uses-ai-to-keep-scientists-updated/|title=This Search Engine Uses AI to Keep Scientists Updated|work=SHACK15 News}}</ref> |
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In 2014, Chan was a semi-finalist for the 2014 Duke of York New Entrepreneur of the Year Award,<ref>{{cite web|url=http://www.nationalbusinessawards.co.uk/Content/Finalists|title=National Business Awards 2014 - Finalists|work=nationalbusinessawards.co.uk}}</ref><ref>{{cite web|url=http://www.cambridge-news.co.uk/Vivian-Chan-Sparrho-semifinalists-competing-Duke-York-New-Entrepreneur-Year-Award-week/story-22510610-detail/story.html|title=Vivian Chan of Sparrho one of ten semi-finalists competing for the Duke of York New Entrepreneur of the Year Award next week|work=Cambridge News}}</ref> and in 2015, Chan was included on the 35 Women Under 35 list compiled by [[Management Today]].<ref>{{cite web|url=http://www.managementtoday.co.uk/go/35-women-under-35-2015-features|title=I've never been regarded as weak' - 35 Women Under 35 2015|work=Management Today}}</ref> In 2016, Sparrho was a semi-finalist in [[Pitch@Palace]] 5.0.<ref>{{cite web|url=http://blog.sparrho.com/post/140388251747/sparrho-will-attend-pitchpalace-50-hosted-by-hrh|title=Sparrho will attend Pitch@Palace 5.0 hosted by HRH The Duke of York at St James Palace on 7th March 2016|work=Sparrho}}</ref> |
In 2014, Chan was a semi-finalist for the 2014 Duke of York New Entrepreneur of the Year Award,<ref>{{cite web|url=http://www.nationalbusinessawards.co.uk/Content/Finalists|title=National Business Awards 2014 - Finalists|work=nationalbusinessawards.co.uk}}</ref><ref>{{cite web|url=http://www.cambridge-news.co.uk/Vivian-Chan-Sparrho-semifinalists-competing-Duke-York-New-Entrepreneur-Year-Award-week/story-22510610-detail/story.html|title=Vivian Chan of Sparrho one of ten semi-finalists competing for the Duke of York New Entrepreneur of the Year Award next week|work=Cambridge News}}</ref> and in 2015, Chan was included on the 35 Women Under 35 list compiled by [[Management Today]].<ref>{{cite web|url=http://www.managementtoday.co.uk/go/35-women-under-35-2015-features|title=I've never been regarded as weak' - 35 Women Under 35 2015|work=Management Today}}</ref> In 2016, Sparrho was a semi-finalist in [[Pitch@Palace]] 5.0.<ref>{{cite web|url=http://blog.sparrho.com/post/140388251747/sparrho-will-attend-pitchpalace-50-hosted-by-hrh|title=Sparrho will attend Pitch@Palace 5.0 hosted by HRH The Duke of York at St James Palace on 7th March 2016|work=Sparrho}}</ref> |
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As of July 2017, Sparrho has raised $3 million from investors including White Cloud Capital, AllBright, and Beast Ventures.<ref>{{cite web | url=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}}</ref> |
As of July 2017, Sparrho has raised $3 million from investors including [[White Cloud Capital]], AllBright, and Beast Ventures.<ref>{{cite web | url=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}}</ref> |
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== Competitors == |
== Competitors == |
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Sparrho's primary competitors |
Sparrho's primary competitors are [[PubChase]] and [[Scizzle]],<ref name="nature.com"/><ref>{{cite web|url=http://blogs.plos.org/tech/diving-haystack-make-hay/|title=Diving into the haystack to make more hay?|work=plos.org}}</ref> though both PubChase and Scizzle are targeted towards biomedical sciences and solely recommend academic journal papers.<ref name="pubchase.com">{{cite web|url=http://www.pubchase.com/|title=PubChase - discover life sciences research of interest to you.|work=PubChase}}</ref><ref>{{cite web|url=http://www.myscizzle.com/Index/faq|title=Scizzle - Frequently Asked Questions|work=Scizzle}}</ref> |
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== See also == |
== See also == |
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Latest revision as of 01:41, 17 April 2024
.png){kind=logo} | |
| Created by | Vivian Chan, Nilu Satharasinghe |
|---|---|
| URL | 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 content and across relevant scientific fields.[4]
Recommendation engine
[edit]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
[edit]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
[edit]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
[edit]References
[edit]- ^ "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. pp. 609–612. arXiv:1707.00195. doi:10.1145/3110025.3120993. ISBN 978-1-4503-4993-2. S2CID 649910.
- ^ "Sparrho - How does our recommendation engine for science work?". Sparrho.
- ^ Nicola Davis (December 2013). "Cambridge's leading tech startups". The Guardian.
- ^ "Why EF". ef.
- ^ a b Gibney, Elizabeth (2014). "How to tame the flood of literature". Nature News & Comment. 513 (7516): 129–130. doi:10.1038/513129a. PMID 25186906.
- ^ "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.