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'''Flipora''' is a piece of ] and ] that is known to change your homepage, default search engine, and tracks your search history. Additionally the malware has been reported to post to social media websites on user's behalf without their consent.<ref>{{cite web|url=http://www.symantec.com/security_response/writeup.jsp?docid=2014-110423-2058-99|title=Adware.Flipora : Summary|publisher=]}}</ref><ref>{{cite web|last1=Staykov|first1=Mihail|title=Flipora Removal Instructions|url=http://www.virusresearch.org/flipora-removal-instructions/|website=virusresearch.org|publisher=VirusResearch.org|accessdate=16 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. The software markets itself as a ] ] ] that recommends web content to users. Flipora’s users follow topics and other s to receive a 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> <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 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 claims to use a machine learning to infer a user’s interests based on their Facebook and Twitter activity and also activity within the app. The app then allegedly makes recommendations to users on those topics. Flipora also has a content recommendation iphone app. Flipora’s app allows a user to connect their Facebook and Twitter accounts and claims to use a machine learning to infer a user’s interests based on their Facebook and Twitter activity and also activity within the app. The app then allegedly makes recommendations to users on those topics.

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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 piece of browser hijacking software and adware that is known to change your homepage, default search engine, and tracks your search history. Additionally the malware has been reported to post to social media websites on user's behalf without their consent.

The software markets itself as a personalized content recommendation service that recommends web content to users. Flipora’s users follow topics and other s to receive a feed of content recommendations. Flipora users can upvote content recommendations they enjoy and automatically promote those content recommendations to their followers. Flipora crossed 25 million users worldwide in April 2014.

Flipora also has a content recommendation iphone app. Flipora’s app allows a user to connect their Facebook and Twitter accounts and claims to use a machine learning to infer a user’s interests based on their Facebook and Twitter activity and also activity within the app. The app then allegedly makes recommendations to users on those topics.

References

  1. "Adware.Flipora : Summary". Symantec.
  2. Staykov, Mihail. "Flipora Removal Instructions". virusresearch.org. VirusResearch.org. Retrieved 16 May 2015.
  3. ^ "Flipora knows who you are, offers what you want". The Hindu. Apr 20, 2014.
  4. "The Past, Present, and Future of Content Discovery". Forbes. Sep 12, 2014.
  5. ^ "Are Interest-Based Networks the Way of the Future?". Forbes. Oct 16, 2014.
  6. "A.I. Is Helping the Internet Know What You Want Before You Want It". Inc Magazine. Oct 7, 2014.
  7. "4 Essential iPhone Apps for Late 2014". Inc Magazine. Nov 25, 2014.
  8. "Five New Apps Challenging Facebook and Twitter for Content Discovery". Forbes. Jan 27, 2015.
  9. "4 New iPhone Apps Changing the Way We Discover Content". Huffington Post. April 27, 2015.
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