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{{Short description|Web content recommendation service}}
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'''Flipora''' is a ] ] ] that recommends web content to users based on their interests and web activity.<ref name="VB">{{cite news | last =Koetsler | first =John | title =Flipora is the fastest-growing social surfing service you've never heard of (interview)| work = ]| date =25 June 2012 | url =https://venturebeat.com/2012/06/25/flipora-is-the-fastest-growing-social-surfing-service-youve-never-heard-of-interview/| accessdate =24 May 2015}}</ref> Flipora's ] algorithm automatically categorizes the web into thousands of interest categories and provides content to users that suits their identified interests. Users can also follow topics and other like-minded users to receive content recommendations that are further personalized. Flipora users can upvote content recommendations they enjoy and automatically promote those content recommendations to their followers.<ref name="Inc01">{{cite magazine | last =Boitnott | first =John | title =A.I. Is Helping the Internet Know What You Want Before You Want It | magazine = ]| date =7 October 2014 | url =http://www.inc.com/john-boitnott/ai-is-helping-the-internet-know-what-you-want-before-you-want-it.html| accessdate =24 May 2015}}</ref><ref name="PCW">{{cite magazine | last =Hachman | first =Mark| title =Flipora's StumbleUpon rival now senses your mood| magazine = ]| date =19 June 2014 | url =http://www.pcworld.com/article/2365362/fliporas-stumbleupon-rival-now-senses-your-mood.html| accessdate =24 May 2015}}</ref><ref name="Forbes01">{{cite magazine | last =Rampton | first =John | title =The Past, Present, and Future of Content Discovery | magazine = ]| date =12 September 2014 | url =https://www.forbes.com/sites/johnrampton/2014/09/12/the-past-present-and-future-of-content-discovery/ | accessdate =24 May 2015}}</ref> Flipora had amassed 8 million users by June 2012<ref name="TC">{{cite news | last =Cutler | first =Kim-Mai | title =Infoaxe's Flipora Passes 8M Registered Users, Adds Discovery Engine| work = ]| date =25 June 2012 | url =https://techcrunch.com/2012/06/25/infoaxes-flipora-passes-8m-registered-users-adds-discovery-engine/| accessdate =24 May 2015}}</ref> and crossed 25 million users worldwide in April 2014.<ref name="Hindu">{{cite news | last =Subramanian | first =Karthik | title =Flipora knows who you are, offers what you want| newspaper = ]| date =20 April 2014 | url =http://www.thehindu.com/todays-paper/tp-national/flipora-knows-who-you-are-offers-what-you-want/article5929864.ece| accessdate =24 May 2015}}</ref><ref name="Forbes02">{{cite magazine | last =Hendricks | first =Drew | title =Are Interest-Based Networks the Way of the Future? | magazine = ]| date =16 October 2014 | url =https://www.forbes.com/sites/drewhendricks/2014/10/16/are-interest-based-networks-the-way-of-the-future/ | archive-url =https://archive.today/20150427004945/http://www.forbes.com/sites/drewhendricks/2014/10/16/are-interest-based-networks-the-way-of-the-future/ | url-status =dead | archive-date =April 27, 2015 | accessdate =24 May 2015}}</ref>
'''Flipora''' is a ] ] ] that recommends web content to users on their favorite topics. Flipora’s machine learning algorithm automatically categorizes the web into thousands of interest categories and surfaces content on those topics to its users. Flipora’s users follow topics and other like-minded users to receive a highly personalized feed of content recommendations. Flipora users can upvote content recommendations they enjoy and automatically promote those content recommendations to their followers.
<ref name="hindu1">{{cite web|title=Flipora knows who you are, offers what you want|url=http://www.thehindu.com/todays-paper/tp-national/flipora-knows-who-you-are-offers-what-you-want/article5929864.ece| publisher=The Hindu| date=Apr 20, 2014}}</ref> <ref name="forbes1">{{cite web|title=The Past, Present, and Future of Content Discovery|url=http://www.forbes.com/sites/johnrampton/2014/09/12/the-past-present-and-future-of-content-discovery/ |publisher=Forbes |date= Sep 12, 2014}}</ref> <ref name="forbes2">{{cite web|title=Are Interest-Based Networks the Way of the Future? |url=http://www.forbes.com/sites/drewhendricks/2014/10/16/are-interest-based-networks-the-way-of-the-future/ |publisher=Forbes |date=Oct 16, 2014}}</ref><ref name="inc1">{{cite web|title=A.I. Is Helping the Internet Know What You Want Before You Want It | url=http://www.inc.com/john-boitnott/ai-is-helping-the-internet-know-what-you-want-before-you-want-it.html |publisher = Inc Magazine |date=Oct 7, 2014}}</ref>
Flipora crossed 25 million users worldwide in April 2014. <ref name="hindu1"/> <ref name="forbes2"/>

Flipora also has a content recommendation iphone app. Flipora’s app allows a user to connect their Facebook and Twitter accounts and uses machine learning to infer a user’s interests based on their Facebook and Twitter activity and also activity within the app. The app then makes recommendations to users on those topics.
<ref name="inc2">{{cite web|title=4 Essential iPhone Apps for Late 2014 |url=http://www.inc.com/john-rampton/4-essential-iphone-apps-for-late-2014.html |publisher=Inc Magazine |date=Nov 25, 2014}}</ref> <ref name="forbes3">{{cite web|title=Five New Apps Challenging Facebook and Twitter for Content Discovery |url=http://www.forbes.com/sites/johnrampton/2015/01/27/five-new-apps-challenging-facebook-and-twitter-for-content-discovery/ |publisher= Forbes |date=Jan 27, 2015}}</ref> <ref name="huff1">{{cite web|title=4 New iPhone Apps Changing the Way We Discover Content |url=http://www.huffingtonpost.com/john-rampton/4-new-iphone-apps-changin_b_7149096.html |publisher= Huffington Post |date=April 27, 2015}}</ref>


Flipora also has a content recommendation ] app. The app allows a user to connect their ] and ] accounts. The app then uses machine learning to infer a user's interests based on their Facebook and Twitter activity along with the activity within the app. Finally, the app makes recommendations to users based on topics deemed to be within their sphere of interest.<ref name="Forbes03">{{cite magazine | last =Rampton | first =John | title =Five New Apps Challenging Facebook and Twitter for Content Discovery | magazine = ]| date =27 January 2015 | url =https://www.forbes.com/sites/johnrampton/2015/01/27/five-new-apps-challenging-facebook-and-twitter-for-content-discovery/ | accessdate =24 May 2015}}</ref><ref name="Inc02">{{cite magazine | last =Rampton | first =John | title =4 Essential iPhone Apps for Late 2014 | magazine = ]| date =25 November 2014 | url =http://www.inc.com/john-rampton/4-essential-iphone-apps-for-late-2014.html| accessdate =24 May 2015}}</ref><ref name="HuffPo">{{cite news | last =Rampton | first =John | title =4 New iPhone Apps Changing the Way We Discover Content| work = ]| date =27 April 2015 | url =http://www.huffingtonpost.com/john-rampton/4-new-iphone-apps-changin_b_7149096.html| accessdate =24 May 2015}}</ref>


==References== ==References==
{{reflist}} {{reflist|2}}


] ]

Latest revision as of 22:55, 26 December 2024

Web content recommendation service
Flipora
Flipora product logo
Founded13 June 2012 Edit this on Wikidata
HeadquartersSunnyvale Edit this on Wikidata, United States Edit this on Wikidata
Websiteflipora.com

Flipora is a personalized content recommendation service that recommends web content to users based on their interests and web activity. Flipora's machine learning algorithm automatically categorizes the web into thousands of interest categories and provides content to users that suits their identified interests. Users can also follow topics and other like-minded users to receive content recommendations that are further personalized. Flipora users can upvote content recommendations they enjoy and automatically promote those content recommendations to their followers. Flipora had amassed 8 million users by June 2012 and crossed 25 million users worldwide in April 2014.

Flipora also has a content recommendation iPhone app. The app allows a user to connect their Facebook and Twitter accounts. The app then uses machine learning to infer a user's interests based on their Facebook and Twitter activity along with the activity within the app. Finally, the app makes recommendations to users based on topics deemed to be within their sphere of interest.

References

  1. Koetsler, John (25 June 2012). "Flipora is the fastest-growing social surfing service you've never heard of (interview)". VentureBeat. Retrieved 24 May 2015.
  2. Boitnott, John (7 October 2014). "A.I. Is Helping the Internet Know What You Want Before You Want It". Inc. Retrieved 24 May 2015.
  3. Hachman, Mark (19 June 2014). "Flipora's StumbleUpon rival now senses your mood". PC World. Retrieved 24 May 2015.
  4. Rampton, John (12 September 2014). "The Past, Present, and Future of Content Discovery". Forbes. Retrieved 24 May 2015.
  5. Cutler, Kim-Mai (25 June 2012). "Infoaxe's Flipora Passes 8M Registered Users, Adds Discovery Engine". TechCrunch. Retrieved 24 May 2015.
  6. Subramanian, Karthik (20 April 2014). "Flipora knows who you are, offers what you want". The Hindu. Retrieved 24 May 2015.
  7. Hendricks, Drew (16 October 2014). "Are Interest-Based Networks the Way of the Future?". Forbes. Archived from the original on April 27, 2015. Retrieved 24 May 2015.
  8. Rampton, John (27 January 2015). "Five New Apps Challenging Facebook and Twitter for Content Discovery". Forbes. Retrieved 24 May 2015.
  9. Rampton, John (25 November 2014). "4 Essential iPhone Apps for Late 2014". Inc. Retrieved 24 May 2015.
  10. Rampton, John (27 April 2015). "4 New iPhone Apps Changing the Way We Discover Content". The Huffington Post. Retrieved 24 May 2015.
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