Ang plugin na ito ay hindi pa nasusubukan sa pinakabagong 3 major release ng WordPress. Maaaring hindi na ito minamantine o sinusuportahan at maaaring may mga isyu sa compatibility kapag ginamit sa mas bagong bersyon ng WordPress.

Azure Cognitive Service Personalizer

Deskripsyon

This plugin provides a widget recommending a single post based on behavior observed on this WordPress installation.
Using reinforcement learning provided by Microsoft Azure Cognitive Service Personalizer a machine learning model is trained.
The recommendation is based on a device type, geo location and meta information provided along side the posts.

Pag-install

  1. Upload the plugin files to the /wp-content/plugins/azure-cognitive-service-personalizer directory, or install the plugin through the WordPress plugins screen directly.
  2. Activate the plugin through the ‘Plugins’ screen in WordPress
  3. Use the Appearance->Widgets screen to add the ‘Personalized Post’ widget.
  4. Create an Azure Cognitive Service personalizer loop using Azure Portal.
  5. Each ‘Personalized Post’ widget can be configured to choose posts from specific cateogries and/or tags.

FAQ

What data is used by the machine learning model?

The user agent string is analysed to extract operating system family (e.g. Windows, Mac),
user agent family (e.g. Edge, Chrome, Safari, …) as well as device family, brand and model.

If the geoip-detect plugin is installed
the users country and state are resolved.

The posts are characterized by the title, excerpt, categories and tags.

Are users tracked?

Individual users are NOT tracked through this plugin. A session cookie is only used to correlate post views with the
recommended post displayed by the widget.

Mga Review

Wala pang reviews para sa plugin na ito.

Mga Contributor at Developer

Ang “Azure Cognitive Service Personalizer” ay open source software. Ang mga sumusunod na tao ay nag-ambag sa plugin na ito.

Mga Contributor

Isalin ang “Azure Cognitive Service Personalizer” sa iyong wika.

Interesado sa development?

Tingnan ang code, i-check ang SVN repository, o mag-subscribe sa development log sa pamamagitan ng RSS.

Changelog

0.9

Initial version.