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| ⚫ | '''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. | ||
| '''Flipora''' is a piece of ] and ] that is known to change the user's homepage and default search engine, and tracks search history. Additionally the malware has been reported to post to social media websites on the 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> | |||
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| <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 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> | ||
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| ==References== | ==References== | ||
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Revision as of 16:13, 17 May 2015
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 Flipora product logo | |
| Founded | 13 June 2012  |
|---|---|
| Headquarters | Sunnyvale , United States |
| Website | flipora |
Flipora is a personalized content recommendation service 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. 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 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.
References
- ^ "Flipora knows who you are, offers what you want". The Hindu. Apr 20, 2014.
- "The Past, Present, and Future of Content Discovery". Forbes. Sep 12, 2014.
- ^ "Are Interest-Based Networks the Way of the Future?". Forbes. Oct 16, 2014.
- "A.I. Is Helping the Internet Know What You Want Before You Want It". Inc Magazine. Oct 7, 2014.
- "4 Essential iPhone Apps for Late 2014". Inc Magazine. Nov 25, 2014.
- "Five New Apps Challenging Facebook and Twitter for Content Discovery". Forbes. Jan 27, 2015.
- "4 New iPhone Apps Changing the Way We Discover Content". Huffington Post. April 27, 2015.