Sentence examples for which personalization from inspiring English sources

A key personality trait that can and should be measured, and which personalization models should take into account in real-time, is suggestibility.

And the debate over which personalization tools to use is as robust as the different methods for achieving it.

The methodology and results help identify user interface features that a designer should emphasize and features for which personalization is likely to be beneficial.

The research finds that ease of use, compatibility with an individual's value and his/her intents and expectations, and trialability ("the degree to which personalization can be used on a trial basis") are the key factors for personalization adoption.

The company has established itself as a leading full-stack solution provider for online retailers, publishers, and vendors, for which personalization has become a crucial differentiator and predictor of success".

There is optimism about the new collective enterprises which personalization may facilitate.

Among others, money managers cited Broadvision, which makes personalization software; Interwoven which sells content-management software; and Vignette, which makes specialized software used for everything from running site content to automating some customer-service functions.

(4) Community building – which extends personalization to groups of users with various commonalities.

In fact, these strategies do not coincide with the educational strategies linked to new pedagogies which champion personalization, active learning, collaborative learning and autonomous learning (Gros, 2015).

"This makes them an even more compelling story," says Vogel. "Andromedia has some good technology, which adds personalization and site management tools to Macromedias business, and this broadens them more into the applications space, which is more defensible".

RichRelevance, which powers personalization for retailers, uses WibiData to manage complex user data, and enable collaboration between their engineering and data science teams.