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RichRelevance

16.09 Release Notes

What’s new in 16.09

The RichRelevance 16.09 release on July 18, 2016, includes the following client-facing updates:

  • Advanced Merchandising bug fixes for processing attribute values.
  • Dashboard - A new version of the MVT UI is being created.  This version will be available within the next few releases.
  • Discover - The type ahead search api supports UTF-8 character encoding.
  • Recommend - Improvements to processing attribute values for Advanced Merchandising rules.
  • Science - 1) Work continues to complete on the new machine-learning based King of the Hill (KOTH).  2) Improvements to MVT data collection to support the new MVT UI.  This will be available within the next few releases.

Advanced Merchandising

Improvements

  • Bug fixes for processing some attribute values.
  • Browser/Platform values can be used in AM rules.

Dashboard

Bug fixes and improvements

  • Localization support was added to the new MVT UI
  • Added support for multi-currency to the new MVT UI
  • Additional bug fixes for the new MVT 

 

Discover

Improvements

  • Type ahead api earlier supported only Latin-1 based languages. Now UTF-8 support has been added.
 

 

Recommend

Advanced Merchandising rules can leverage matching CNET attribute values from the seed product.

  • Advanced Merchandising Rules can now leverage matching a CNET attribute X from the seed product with a CNET attribute Y on the recommendation products. For example, a laptop may have and attribute Display/ diagonal size (in) , previously you could not use the value of that attribute to select products that have a laptop bag Compatibility Dimensions / Notebook Compatibility . This feature will allow migration of clients who leveraged similar functionality in ICS off of that product. 

 

 

Science

KOTH (King of the Hill) improvements

  • Updates to KOTH (King of the Hill) processing to improve the quality of product recommendations.

 

Improvements to MVT data collection and processing

  • The new MVT UI will utilize the improved data processing values.
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