Recommendations

overview intelliprove’s recommendation system makes it simple to offer valuable , personalized content and services to your users based on their individual health profile using measured biomarkers, health insights, trends and metadata, intelliprove analyses each user’s data and feeds it into an intelligent algorithm to determine which products or services fit best the recommended items are show in the recommendations widget embed the intelliprove recommendation widget in your application to automatically display personalized suggestions to your end users,driving engagement and supporting better health outcomes how personalization works the recommendations shown to a user are selected based on their measured health data from face scans and additional context the selection is driven by a combination of measured biomarkers over the last weeks user's health insights , like stress, sleep and fitness user details – like age, sex and bmi setup integration the recommendation widget is embedded in the same way as other intelliprove widgets → integrate the recommendations widget docid\ atiedvbxmo2sszzuyq2xf configuration you can configure your list of recommendation items via the sheet accessible in the i ntelliprove admin tool for each recommendation item, you can define title the name of the product, service or resource for example take control of your stress (article), start breathing better (exercise) or enhance your sleep (video) short description a concise explanation providing more information link the url to direct users to the item, where users can learn more or take action button label text to shows in the call to action button for example listen and discover, start exercise or watch video image displayed in the recommendation card no code changes are needed after the initial integration you can freely add or remove items