User predictability | LikeMinds engine
This section contains the following information regarding user predictability.
- Maximum number of mentors assigned to each user Learn how to specify the number of mentors to be assigned to each user in your LikeMinds engine.
- Maximum ratings a user needs before becoming a mentor Learn how to set the maximum number of ratings for a user to become a mentor in your LikeMinds engine.
- Maximum transactions a user needs before becoming a mentor Learn how to set the maximum number of transactions for a user to become a mentor in your LikeMinds engine.
- Minimum number of ratings for user recommendations Learn how to set the minimum number of ratings for your LikeMinds engine to make recommendations for a user.
- Recomputing Preference engine predictions Learn how to configure your LikeMinds Preference engine to recompute user predictions.
- Default Preference Engine recommendations The Preference Engine reads the value from the score field in the Lps_Item_Data table to determine which items are popular. Hence, a higher score means that the item is more popular.