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, boosters, and variations 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.
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.
|Dimensional||Varied such that a limit is set on the number of items with the same primary tags or categories which can be returned in recommendations. The primary category or tag is taken to be the first one in the list on products, articles or blogs. This exclusion can only be used with products, articles and blogs.|
|Randomized||Varied such that the results are randomized for each user. All other recipe rules still apply, and boosted recommendations will generally still show up first.|