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If you include a booster in your recipe, the visitor's affinity score is taken into account and items matching that affinity are boosted in the recommendations query results. The affinity score is based on how much a visitor interacts with specific items on your site (e.g. purchases, adds to cart, views items, views items for a length of time, and other interactions). For example, if your visitor shows a preference for a particular category of item, those that fall in that category will be shown first.
This Article Explains
This article will give an overview of the process for adding boosters to a recipe. Refer to related articles for information on creating recipes, and adding ingredients and exclusions.
Sections in this Article
REQUIREMENTS
You must have Evergage Recommend integrated with the dataset in which you are configuring the recommendations. Please contact your Customer Success representative to complete your Recommend integration.
Create a Booster
- Create a new recipe or edit an existing recipe
- On the Boosters tab, click Add a booster to select the booster from the drop down; scroll to see all options
- Adjust configurations for the booster as needed
- Add additional boosters as needed
- Click
to delete a booster Click SAVE to save your recipe
Your recipe must have a unique name and at least one ingredient before you can save it
Booster Descriptions and Configurations
Each booster has three possible configurations which determines how each will affect the affinity score:
- Weight - affects how much the selected booster will be weighted in the recommendation query. The slider has five positions (1-5), each one being a factor by which the affinity score is multiplied
- Threshold - determines the point at which the visitor is considered affine for the booster. The slider has six positions (0-5), each one being a factor by which the affinity score is multiplied. If the threshold is zero, any of the items the user has interacted with over the lookback period can be boosted.
- Lookback (days) - number of days to look back at visitor's history for this booster. For example, if a visitor bought a product three months ago, but the Lookback was set to 30 days, that purchase wouldn't be factored into the affinity score
| Booster | Description | Usable while Recommending |
|---|---|---|
| Category | Categories of items or content the visitor shows interest in are scored higher Includes an option to boost up a category hierarchy with decreasing magnitude. For example, if categories are structured as "Women's|Dresses|Halter", and the affine item is in this category, other items in the categories "Women's|Dresses" and "Women's" would also be boosted, but less than items sharing the full category. | Products, Articles, Blogs |
| Department | Departments of items or content the visitor shows interest in are scored higher | Products, Articles, Blogs |
| Combination | Combination boosters allow more specific items to be returned than a standard booster by item type. They work by looking at which items the visitor is affine to, and only boosting other items that share the same combination of categories and tags. Up to three separate item types can be combined together. If an item doesn’t have a value for that specific item type, it will not be boosted. For example, with a standard recipe that has two boosters: a category booster and a style booster, a visitor that bought a red dress would be affine to both the style “red” and the category “dress”. This means boosted recommendation results are likely to be red, or dresses, but not necessarily red dresses. However, with a combination booster, only items with the specific combination of affine tags and categories are boosted. This means that red shoes and black dresses would not be boosted and would be significantly less likely to be returned in the recommendation results, while red dresses would be more likely. | Products, Articles, Blogs |
| Related Information | Instead of boosting by visitor affinity, boost a specific item type (categories, brands, keywords, etc.) based on the selected anchor item. Does not have a threshold option. If boosting categories, there is also an option to boost up through the category with decreasing magnitude (see Category booster description). | Products, Articles, Blog |
| Badge | Badges the visitor shows interest in are scored higher | Products |
Brand | Brands of items or content the visitor shows interest in are scored higher | Products, Articles, Blogs |
| Gender | Gender the visitor shows interest in is scored higher | Products |
Class | Item classes the visitor shows interest in are scored higher | Products |
| Content Class | Content classes the visitor shows interest in are scored higher | Articles, Blogs |
| Keyword | Keywords the visitor shows interest in are scored higher | Products, Articles, Blogs |
| Style | Styles the visitor shows interest in are scored higher | Products |
| Product List | The product lists the visitor shows interest in are scored higher | Products |
| Store | Products available in the selected store are scored higher | Products |
| Color | Colors the visitor shows interest in are scored higher | Products |
| Authors | Authors the visitor shows interest in are scored higher | Articles, Blogs |
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