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This comes to mind in considering Manhattan-based Dynamic Yield -- which offers "advanced machine learning engine builds actionable customer segments in real time, enabling marketers to increase revenue via personalization, recommendations, automatic optimization & 1 1 messaging". Dynamic Yield is targeting a huge market.
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So, what exactly puts Pinterst in the gray areas between search and social? 1. Self-Discovery & Personalization – Via "personalized recommendations that feel qualitatively different from other services," Pinterest is able to help users uncover their own tastes, one pin at a time.
Blinkx gives you even more of this kind of personalization via its "personal TV channels," which let you specify topics that you like.
In addition to curation, LifeCrowd is also using social filtering (via Facebook) and personalization techniques to help recommend the activities that you would want to participate in.
High throughput sequencing has facilitated a precipitous drop in the cost of genomic sequencing, prompting predictions of a revolution in medicine via genetic personalization of diagnostic and therapeutic strategies.
Former MoveOn.org executive director Eli Pariser has warned that personalization via sites like Facebook and Google, which customize the content shown to users based on their browsing activity and other factors, will show users only what they want to see, but not what they need to see, shielding them from new view points that may conflict with their own.
Like its web-based counterpart, the app allows customers to create and customize stationary, cards and other gifts via a variety of personalization options, including by occasion, paper type, trim, envelope color, and more.
By working through various literature in media such as media economics and digital divide, we will explore how content personalization via the algorithms could reproduce or amplify long-standing inequalities in race, class, and gender.
Personalization, via wearable devices, is already a big consumer trend.
The key to grabbing your customer's attention via email is personalization.
When computational markets are not a viable approach, the findings of this work are also applicable for privacy personalization via recommender systems as outlined in related work [17].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com