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Showing posts with the label artificial intelligence

What is your real opinion?

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We don't think its possible that vote after vote a person can 'like' every upload they see. Sometimes scrolling through and voting on hundreds or thousands of uploads a user will vote like or dislike without changing opinion. If you constantly feedback thoughtless, monotonous voting patterns, our algorithms suspect you are not a human and your earnings may be penalized. A similar problem occurs when our algorithms process applications for a new account. Sometime we see patterns that do not support that a human is behind the voting. This occurs when either likes or dislikes are unusually dominant that you appear as a bot. Often accounts will be placed into a holding pattern until they demonstrate clearly that there is a human applicant present. We urge you to be more thoughtful about your voting and assist the entire community to judge and determine the content uploads that the next AdFreeway users will see. Your participation is important to us us, to advertisers and your f

Predictive Analytics Optimize Media Buying

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A campaign with Yonder Media South Africa, for KFC is among several that demonstrates AdFreeway's capacity to interpret real-time content voting that predicts and automates programmatic media buying. All media was purchased via The Trade Desk.  AdFreeway presented each of three creatives, for different products to users of its social feed to obtain opinions. A maximum one vote could be cast per user/creative. Each voter caused a dynamic selection from a cohort of millions of inter-connected audience identifiers to be targeted. From these identifiers connected during the campaign bids were prioritized to serve an identifiers' predicted creative preferences. The voting dynamic and interconnections modified predictions in near real-time. This delivered incrementally to the audience and new customers were qualified by significantly lower CPA's and 2 x ROAS. The above table of AdFreeway campaign scores were based on CPA and other performance metrics. This demonstrates that (far

Promote or Demote Uploads - Your Vote Counts!

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You and your vote are the backbone of AdFreeway Social. You may not see all of the uploaded content,  because your votes shape what others see! With no user names, comments, groups or friends, what kind of a social network is AdFreeway?  In truth, its complex and most times we struggle to describe our algorithms. Put simply your votes may make you their leader, their votes may make you their follower and it all depends on the dynamic status of domain collections. In addition to our social feed, we advertise to you at domains you visit. By doing that we build you a  domain collection. That collection anonymously connects you with other temporary or permanent domain collections of other users.  So what does all that mean? One way to think of this; Like votes promote an upload, Dislike votes demote it The behavior of uploaded content depends on your votes, its earnings will increase or decrease according to the overall network affect of each of your votes. The impact of your vote also dep

Advertising - The Gift That Keeps Giving

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Adfreeway has simplified cookiless user clustering and reduced overly invasive practises to collect large amounts of data at great expense to user privacy. This reflects the double edged benefit of AdFreeway's effective approach, which is best summed up by the comment  Carlos Alija at MullenLowe US made after  the recent Australian Open Tennis mens championship final.  The quest for data to predict your every next move and the competition to get it right, just in time is overwhelming, yet the output continues to fail us. Alternatively the speed at which a willing participant can inform content (advertising) distribution is faster and more accurate. This is why AdFreeway innovated its user-driven platform to address advertisings first problem, finding the advertisers audience and growing it.  AdFreeway's platform delivers on two essential requirements, user opinions that produce advertising identifiers at a speed beyond predictive computations. When we first discovered this, we