1. Facebook announces 'Buffy' - its new phone. Facebook says it has 350 million active mobile users, and relationships with 475 global mobile operators. Although it is one of the most popular applications on nearly every phone for which it is available, the social network generally plays only a supporting role. The fight for mobile control is only getting more fierce. Google and Apple run the two major smartphone operating systems, giving Facebook little say over its mobile destiny. Read the article - Click here!
2. Hunch is a part of Ebay. Hunch's patented prediction technology – also known as a “taste graph” – uses signals from around the Web to map members with their predicted affinity for products, services, other people, websites, or just about anything, and customizes recommended topics for them. Check out this video to understand how hunch predicts your likes and dislikes.
eBay can use Hunch's expertise for its customers to have a personalized shopping experience. eBay buyers are expected to benefit from Hunch’s predictive ability to generate meaningful, yet often non-obvious, recommendations for items available on eBay based on their specific tastes. Hunch uses inputs from across the Web including social networks, things members like, who they follow, and answers to Hunch’s own questions – to build unique user profiles that make more personal recommendations and model individuals’ tastes. Once integrated, unlike traditional online retail approaches, Hunch will enable eBay to move beyond standard item-to-item recommendations and use a broader variety of members’ online tastes and interests to suggest new and interesting items for them to browse and buy on eBay.
Press release by eBay here.
2. Hunch is a part of Ebay. Hunch's patented prediction technology – also known as a “taste graph” – uses signals from around the Web to map members with their predicted affinity for products, services, other people, websites, or just about anything, and customizes recommended topics for them. Check out this video to understand how hunch predicts your likes and dislikes.
eBay can use Hunch's expertise for its customers to have a personalized shopping experience. eBay buyers are expected to benefit from Hunch’s predictive ability to generate meaningful, yet often non-obvious, recommendations for items available on eBay based on their specific tastes. Hunch uses inputs from across the Web including social networks, things members like, who they follow, and answers to Hunch’s own questions – to build unique user profiles that make more personal recommendations and model individuals’ tastes. Once integrated, unlike traditional online retail approaches, Hunch will enable eBay to move beyond standard item-to-item recommendations and use a broader variety of members’ online tastes and interests to suggest new and interesting items for them to browse and buy on eBay.
Press release by eBay here.
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