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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)| newspaper =| location = | pages = | language = | publisher = ]| date =25 June 2012 | url =http://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 news | last =Boitnott | first =John | title =A.I. Is Helping the Internet Know What You Want Before You Want It | newspaper =| location = | pages = | language = | publisher = '']''| 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 news | last =Hachman | first =Mark| title =Flipora's StumbleUpon rival now senses your mood| newspaper =| location = | pages = | language = | publisher = '']''| 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 news | last =Rampton | first =John | title =The Past, Present, and Future of Content Discovery | newspaper =| location = | pages = | language = | publisher = '']''| date =12 September 2014 | url =http://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| newspaper =| location = | pages = | language = | publisher = ]| date =25 June 2012 | url =http://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 =| location = | pages = | language = | publisher = '']''| 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 news | last =Hendricks | first =Drew | title =Are Interest-Based Networks the Way of the Future? | newspaper =| location = | pages = | language = | publisher = '']''| date =16 October 2014 | url =http://www.forbes.com/sites/drewhendricks/2014/10/16/are-interest-based-networks-the-way-of-the-future/ | accessdate =24 May 2015}}</ref> |
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'''Flipora''' goes through your address book and sends fake friend request to each address. Any recipient that accepts the request is similarly infected. While fairly easy to disable from own machine, it has already spread to your friends and you will start receiving smae "friend" requests back. What Flipora claims to be 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)| newspaper =| location = | pages = | language = | publisher = ]| date =25 June 2012 | url =http://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 news | last =Boitnott | first =John | title =A.I. Is Helping the Internet Know What You Want Before You Want It | newspaper =| location = | pages = | language = | publisher = '']''| 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 news | last =Hachman | first =Mark| title =Flipora's StumbleUpon rival now senses your mood| newspaper =| location = | pages = | language = | publisher = '']''| 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 news | last =Rampton | first =John | title =The Past, Present, and Future of Content Discovery | newspaper =| location = | pages = | language = | publisher = '']''| date =12 September 2014 | url =http://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| newspaper =| location = | pages = | language = | publisher = ]| date =25 June 2012 | url =http://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 =| location = | pages = | language = | publisher = '']''| 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 news | last =Hendricks | first =Drew | title =Are Interest-Based Networks the Way of the Future? | newspaper =| location = | pages = | language = | publisher = '']''| date =16 October 2014 | url =http://www.forbes.com/sites/drewhendricks/2014/10/16/are-interest-based-networks-the-way-of-the-future/ | accessdate =24 May 2015}}</ref> |
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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 news | last =Rampton | first =John | title =Five New Apps Challenging Facebook and Twitter for Content Discovery | newspaper =| location = | pages = | language = | publisher = '']''| date =27 January 2015 | url =http://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 news | last =Rampton | first =John | title =4 Essential iPhone Apps for Late 2014 | newspaper =| location = | pages = | language = | publisher = '']''| 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| newspaper =| location = | pages = | language = | publisher = '']''| date =27 April 2015 | url =http://www.huffingtonpost.com/john-rampton/4-new-iphone-apps-changin_b_7149096.html| accessdate =24 May 2015}}</ref> In November 2014, ] classified Flipora's ] software |
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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 news | last =Rampton | first =John | title =Five New Apps Challenging Facebook and Twitter for Content Discovery | newspaper =| location = | pages = | language = | publisher = '']''| date =27 January 2015 | url =http://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 news | last =Rampton | first =John | title =4 Essential iPhone Apps for Late 2014 | newspaper =| location = | pages = | language = | publisher = '']''| 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| newspaper =| location = | pages = | language = | publisher = '']''| date =27 April 2015 | url =http://www.huffingtonpost.com/john-rampton/4-new-iphone-apps-changin_b_7149096.html| accessdate =24 May 2015}}</ref> In November 2014, ] classified Flipora's ] software |
Flipora product logo