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Altered template type. Add: pmid, pages, issue, volume, doi, journal, date, authors 1-1. Removed parameters. Some additions/deletions were parameter name changes. | Use this bot. Report bugs. | Suggested by Abductive | Category:Scholarly search services | #UCB_Category 32/40
 
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{{Use dmy dates|date=March 2019}}
{{Infobox website
{{Infobox website
| name = Sparrho
| name = Sparrho
| logo = [[File:Sparrho.png|200px]]
| logo = Sparrho logo (2017).png
| logo_size = <!-- default 250px -->
| logo_size = <!-- default 250px -->
| logo_alt =
| logo_alt =
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| screenshot_alt =
| screenshot_alt =
| caption =
| caption =
| url = www.sparrho.com
| url = [http://www.sparrho.com www.sparrho.com]
| slogan = A bird's eye view on science
| commercial =
| commercial =
| type =
| type =
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| num_users =
| num_users =
| content_license =
| content_license =
| programming_language = [[Clojure]]<ref>{{cite web|url=http://stackshare.io/sparrho/sparrho|title=Sparrho's technology stack|work=StackShare}}</ref>
| programming_language =
| owner = <!-- or: | owners = -->
| owner = <!-- or: | owners = -->
| author = Vivian Chan, Nilu Satharasinghe
| author = [[Vivian Chan]], Nilu Satharasinghe
| editor = <!-- or: | editors = -->
| editor = <!-- or: | editors = -->
| launch_date = <!-- {{start date and age|YYYY|MM|DD|df=yes/no}} -->
| launch_date = <!-- {{start date and age|YYYY|MM|DD|df=yes/no}} -->
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| footnotes =
| footnotes =
}}
}}
'''Sparrho''' is a scientific recommendation engine providing 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]] 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.<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://sparrho.tumblr.com/post/98321187242/peeking-under-the-hood-sparrhos-discovery-engine|title=Sparrho: Peeking under the hood: Sparrho's Discovery Engine|work=tumblr.com}}</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?|author=Sparrho|work=sparrho.com}}</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 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>


== History ==
== 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.<ref>{{cite web|url=http://www.theguardian.com/technology/2013/dec/01/cambridge-university-internet-tech-startup|title=Cambridge's leading tech startups|author=Nicola Davis|work=the Guardian}}</ref><ref>{{cite web|url=http://www.joinef.com/why-ef/|title=Why EF|work=ef.}}</ref><ref name="nature.com">{{cite web|url=http://www.nature.com/news/how-to-tame-the-flood-of-literature-1.15806|title=How to tame the flood of literature|work=Nature News & Comment}}</ref> Initially established at Ideaspace in West Cambridge, the company offices have now moved to Camden, London.<ref>{{cite web|url=http://sparrho.tumblr.com/post/100100099802/sparrho-finds-a-new-nest|title=Sparrho: Sparrho finds a new nest!|work=tumblr.com}}</ref>
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>

In 2014, Vivian 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>
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>

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>


== Competitors ==
== Competitors ==
Sparrho's primary competitors within the academic content recommendation field include [[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 PubChase is targeted towards biomedical sciences <ref name="pubchase.com">{{cite web|url=https://www.pubchase.com/|title=PubChase - discover life sciences research of interest to you.|work=pubchase.com}}</ref> and both PubChase and Scizzle solely recommend academic journal papers.<ref name="pubchase.com"/><ref>https://www.myscizzle.com</ref>
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>

== See also ==

* [[List of academic databases and search engines]]


== References ==
== References ==
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* {{Official website|http://www.sparrho.com}}
* {{Official website|http://www.sparrho.com}}



[[Category:Articles created via the Article Wizard]]
[[Category:Search engine software]]
[[Category:Search engine software]]
[[Category:Academic publishing]]
[[Category:Scholarly search services]]

Latest revision as of 01:41, 17 April 2024

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

[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]
  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. pp. 609–612. arXiv:1707.00195. doi:10.1145/3110025.3120993. ISBN 978-1-4503-4993-2. S2CID 649910.
  7. ^ "Sparrho - How does our recommendation engine for science work?". Sparrho.
  8. ^ Nicola Davis (December 2013). "Cambridge's leading tech startups". The Guardian.
  9. ^ "Why EF". ef.
  10. ^ 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.
  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.
[edit]
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