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Evergage Recommendations brings advanced, per-user product and content suggestions using complex algorithms and a deep understanding of user behavior. The solution offers configurable "recipes" that can be used to boost content or product discovery on your site. Recipes consist of ingredients, exclusions, and boosters, which can be constructed in a variety of combinations to serve up the right content or products based on the individual visitor's behavior and affinities on your site. These recipes are then queried against the proprietary Evergage Recommendations engine and the individual query results are presented to each visitor as his or her personalized recommendations.

This article details the ingredients available in Evergage recipes. Refer to related articles for more information on creating a recipe, and adding exclusions and boosters

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.

Add Ingredients

Ingredients are the core algorithm driving recommendations, with exclusions and boosters helping to refine the results. Ingredients add content or products to be considered by a recipe and weights them according to visitor behavior and item specific factors.

  1. Create a new recipe or edit an existing recipe
  2. On the Ingredients tab, click Add an ingredient to select the ingredient from the drop down; scroll to see all options
  3. Adjust configurations for each ingredient as needed
  4. Add additional ingredients as needed
  5. OPTIONAL: Enable trending product fallback may be selected for the campaign to show trending products (only) if there aren't enough results returned by the algorithm. Contact your Customer Success representative for more information

    ALTERNATIVE

    You can include a Trending ingredient which will give you additional flexibility to include exclusions and boosters
  6. Click  to delete an ingredient

 

Ingredient Descriptions and Configurations

IngredientDescriptionConfigurations
Co-BuyCo-Buy is one of two co-occurance ingredients. This ingredient looks at items/content purchased or downloaded by previous buyers along with the item currently being viewed or in the cart

Weight - how this ingredient will be weighted against others in the same recipe

Lookback (days) - the time period in days that the recipe will look back in the history of views and/or purchases. Enter a value of 0 to look at today only

Anchor - the item or content on the page or in the visitor's cart which is used to determine what recommendations will be served

Co-BrowseCo-Browse is one of two co-occurance ingredients. This ingredient looks at items/content viewed by previous visitors along with the item/content currently being viewed or in the cart

Weight - how this ingredient will be weighted against others in the same recipe

Lookback (days) - the time period in days that the recipe will look back in the history of views and/or purchases. Enter a value of 0 to look at today only

Anchor - the item or content on the page or in the visitor's cart which is used to determine what recommendations will be served

Minimum View Time - sets the minimum view time to be considered interested in an item.

SmartBundleSmartBundle is one of three co-occurrence ingredients. This ingredient looks at products which are bought together in the same cart and returns recommendations based on explicitly defined categories. For more information, see Understand SmartBundle.

Weight - how this ingredient will be weighted against others in the same recipe

Lookback (days) - the time period in days that the recipe will look back in the history of views and/or purchases. Enter a value of 0 to look at today only

Anchor - the item or content on the page or in the visitor's cart which is used to determine what recommendations will be served

Collaborative Filtering

This ingredient returns results based on a user's affinities such as browsing and purchasing behaviors.

Collaborative filtering recommends content and products based on a given visitor's cluster, which is defined by their behavior and interests. In very simple terms, a visitor sees products or content based on a "people like me" algorithm

Weight - how this ingredient will be weighted against others in the same recipe

Lookback (days) - the time period in days that the recipe will look back in the history of views and/or purchases. Enter a value of 0 to look at today only

TrendingThis ingredient will show trending products or content across your site. You can define this as items/content based on the number of purchases/downloads, the amount of revenue generated, the number of views, or the amount of time spent viewing. This can be added as a backup in the event that the recommendations serve too few or no items

Weight - how this ingredient will be weighted against others in the same recipe

Order By - select how Trending products will be ordered in the recommended list

Similar ItemsThis ingredient uses content or items similar in name or description, is included in the same category, or has been tagged the same as the anchor item being viewed or in the visitor's cart

Weight - how this ingredient will be weighted against others in the same recipe

Anchor - the item or content on the page or in the visitor's cart which is used to determine what recommendations will be served

Most Recently PublishedThis ingredient uses the published date captured in the catalog to prioritize the most recently published items or content on your site

Weight - how this ingredient will be weighted against others in the same recipe

Decay Age - the length of time a product or piece of content should stay marked as new

Relevancy Retainedbased on the decay age, the length of time a product or piece of content will be included in recommendations by this ingredient

Soon to ExpireThis ingredient uses the expiration date captured in the catalog to prioritize items with a forthcoming expiration date

Weight - how this ingredient will be weighted against others in the same recipe

Decay Age - the length of time a product or piece of content should stay marked as new

Relevancy Retained - based on the decay age, the length of time a product or piece of content will be included in recommendations by this ingredient

   

 

 

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