The These machine learning tools leverage user behavior data that has been accumulated in Hawksearch through Event Tracking. These tools use a rolling, 30-day history of tracked events.
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 during the clicks. At anytime we only look at the data for the last 30 days for this feature.
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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. It adds a boost for items that are frequently bought. This multiplier works with sales data, based on a rolling, 30-day history, which will help pushing recently sold products toward the top of your search results.
Add2Carts Multiplier
The Add2Carts Multiplier can be use to boost items that are often added to carts by the users. It adds a boost for items that are frequently added to the cart.
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