Hi Aditya,
I recommend you read this FAQ for a full understanding of the behaviour of these two widgets:
FAQs on Curated Experiences, Search Configurations, and Content Recommendation
the essential parts for your questions is the following:
- What is the recommendation logic used with ‘Recommended for you’ widget?
In general, this widget highlights the most viewed knowledge article and most requested catalog items across all employees (for a time period defined in the instance options by the portal administrator)
For customers who have Predictive Intelligence license and have it activated in their instance, this widget will use the similarity framework applied on the Employee’s profile to make the content recommendation.
See the flowchart below:
- What is the recommendation logic used with the ‘Popular topics’ widget?
We define "popular" topics as topics that contain content (catalog or knowledge) that have higher popularity. For a catalog item, popularity is the number of times it was requested and for a knowledge article, it is the number of times it was viewed. The popularity of a topic is the aggregation of the popularity of all the content under a topic.
Popularity is calculated based on a daily scheduled job that looks at the entire history, since the day Employee Center was turned on the instance and across all users in the instance.
Hi Aditya,
I recommend you read this FAQ for a full understanding of the behaviour of these two widgets:
FAQs on Curated Experiences, Search Configurations, and Content Recommendation
the essential parts for your questions is the following:
- What is the recommendation logic used with ‘Recommended for you’ widget?
In general, this widget highlights the most viewed knowledge article and most requested catalog items across all employees (for a time period defined in the instance options by the portal administrator)
For customers who have Predictive Intelligence license and have it activated in their instance, this widget will use the similarity framework applied on the Employee’s profile to make the content recommendation.
See the flowchart below:
- What is the recommendation logic used with the ‘Popular topics’ widget?
We define "popular" topics as topics that contain content (catalog or knowledge) that have higher popularity. For a catalog item, popularity is the number of times it was requested and for a knowledge article, it is the number of times it was viewed. The popularity of a topic is the aggregation of the popularity of all the content under a topic.
Popularity is calculated based on a daily scheduled job that looks at the entire history, since the day Employee Center was turned on the instance and across all users in the instance.
