These machine learning tools leverage user behavior data that has been accumulated in Hawksearch through Event Tracking. The last 30 days of data is used for these tools.
Learning Search Multiplier
The Learning Search Multiplier is a way to boost popular items. The way the popularity filter is calculated is based on the number of times a particular item was clicked on across keyword searches and the position that the item displayed on the page at the time it was clicked on.
Boost for Recommended Items
The boost for recommended items uses the Personalized Strategy. If there are any products that overlap between the items detected by the strategy and items in the results, those items will be boosted.
Orders Multiplier
The Orders Multiplier can be used to boost items that are purchased the most.
Add2Carts Multiplier
The Add2Carts Multiplier can be use to boost items that are often added to carts by the users.