Personalizing content recommendations
Use cookies to personalize content recommendations.
No two visitors have the same interests nor do they demonstrate identical shopping patterns. Digital Recommendations builds individual visitor profiles based on historical and in-session data to automatically present each user with a unique set of recommendations, even visitors who are not known receive highly relevant recommendations that are based on Digital Recommendations proven wisdom-of-the-crowd algorithms. Because visitor profiles are constructed in real time, recommendations can become personalized quickly, which allows Digital Recommendations to optimize recommendations for every visitor. Specific recommendations zones can be defined in the recommendation plan to offer recommendations that are based on the most recently viewed pages as recommendations.
Tracking Data in the Content Recommendations Personalization Cookie
Every time a visitor views a page that generates an IBM® Digital Analytics page view tag, the library handles updating information in the Digital Recommendations personalization cookie. There are no specific tasks for you to do to ensure that this happens beyond ensuring that page view tags are fired. For more information, see "Content recommendation cookies," in the IBM Content Recommendations Configuration Guide.