review documents from The Personalization TF

The Personalization TF now part of the APA would like your help in deciding which implementation schema we should use for our Personalization modules we have been developing. This work came out of COGA (cognitive accessibility), the former Indie-UI WG, and other WAI groups and has been worked on previously under ARIA. The goal of the Personalization task force is to enable the adaptation of web content to user needs far beyond what is currently supported, so that more usergroups can be included in the digital world and content can adapt to more scenarios such as stress and illness. Sometimes users may need simplification of text and concepts or translation into symbols. Others may need content that is free of numbers, minimizes distractions, or provides additional help. The author augments the content to identify contexts, options, simplifications, or replacements. User agents or other technologies use these semantics to augment or adapt the content based on identified user preferences. Examples: - The content might specify that, "9 out of 10 people prefer coffee over tea". The author would identify the "9 out of 10” phrase and provide "almost all" as the number free alternative. - People who use symbols to communicate often don’t understand symbols from another set. This work solves this problem enabling linked data  symbols (with UNICEF) with standard tokens can then be mapped to each unique symbol set. The task force has 3 modules and an explainer document in editor draft status. Below are links to these documents and to a Google Document comparing the implementation strategies we have explored. The task force needs your help to select the best implementation schema for the personalization semantics. We have eliminated RDFa, HTML Microdata, and ARIA attributes as not practical at this time.    Comparison-of-ways-to-use-vocabulary-in-content  > > <https://github.com/w3c/personalization-semantics/wiki/Comparison-of-ways-to-use-vocabulary-in-content>  > > - Personalization Semantics Explainer 1.0  > > <https://raw.githack.com/w3c/personalization-semantics/WD-explainer-and-module1-FPWD-module2-and-module3/explainer.html>  > > - Personalization Semantics Content Module 1.0  > > <https://raw.githack.com/w3c/personalization-semantics/WD-explainer-and-module1-FPWD-module2-and-module3/content/index.html>  > > - Personalization Help and Support 1.0  > > <https://raw.githack.com/w3c/personalization-semantics/WD-explainer-and-module1-FPWD-module2-and-module3/help/index.html>Personalization  > > Tools 1.0  > > <https://raw.githack.com/w3c/personalization-semantics/WD-explainer-and-module1-FPWD-module2-and-module3/tools/index.html>  > >  All the best Lisa Seeman LinkedIn, Twitter