Optimization - Product Recommendation 2.0.0

2.0.0

Dec 28, 2023

Model setup has been split into 3 steps: Definition (with Transaction Source and basic mapping), Configuration (with thresholds for recommendations) and Product Recommendations (remains the same).

PFPCS-6996

To define easily product recommendations, you can now turn on/off each type by using a checkbox in the Configuration step.

PFPCS-6997

New recommendation types have been added to product recommendations”

• Similar products

• Up-sell

• Down-sell

• Similar from another brand

PFPCS-7035
PFPCS-7043
PFPCS-7047
PFPCS-7051

An "overall score" has been added in order to get a score that combines all types of recommendations. This score uses weights that are defined by the recommendation type. 

PFPCS-7053

Recommendation types existing in version 1.0 match requirements introduced in this version. They are computed only if selected, otherwise the calculation is skipped.

PFPCS-7226

Model evaluation was updated: the ProductRecommendation element was modified to have a method for each of the newly added recommendation types. The AggregatedRecommendation element was added for evaluation method aggregating all types of recommendations into a single output. The EvaluationUtils element was added for functions used in the two above mentioned elements.

PFPCS-7409

Each recommendation type is now presented by a single node in the graph on the Summary tab. All new recommendation types are added, with the number of recommendations and number of co-products for which they are enabled.

PFPCS-7563

The Summary tab of the results step shows all recommendation types, with a number of unique product IDs and total count of recommendations.

PFPCS-7591

Default preferences for layout are now part of the accelerator release.

PFPCS-7609

When installing the accelerator from PlatformManager, engines configuration steps are now the first steps of the accelerator installation. This is to prevent errors when trying to run a model while the accelerator installation has not been completed.

PFPCS-7704

All scores returned by the evaluation are now weighted and they are added to each recommendation type table and presented at the overview tab.

PFPCS-7791

Product Recommendation models run now on partitions using Greenplum database.

PFPCS-7801

With version 2.0 the Model Class, tabs, steps and logics have been renamed to clearly indicate that they belong to the new version.

PFPCS-7806

When you use productId in the Product Name field, you get the following error: "column reference "productid" is ambiguous".

PFPCS-6564

When the source Datamart contains records sharing the same product/customer IDs but with different product/customer names, LoadRecommendations calculation fails with an error.

PFPCS-7266