Sentence examples for recommendation items from inspiring English sources

The use of context and information extracted from social network to support recommendation items is not new.

To find out relevant recommendation items from an educational point of view, a top down perspective can be used to design recommendations, especially for formal learning scenarios.

Self efficacy about the performance of physical activity will be assessed by seven (exercise programme) or eight (exercise recommendation) items based upon the Social Cognitive Theory.

As for the specific DTSQ items, satisfaction with current treatment (item 1), treatment understanding (item 6), treatment recommendation (item 7) and continuing treatment (item 8), were the most strongly associated with the SF-36 scales.

Especially for the item recommendation problem, we should recommend items for a user from all the items.

Currently, Mahout offers implementations for user-based recommendations, item-based based recommendations, and several variations of matrix factorization.

Most existing content-based recommendation systems, in which items are usually described with keywords, are designed to recommend items according to text contents.

For both algorithms, we allow the recommendation of items that the user had already rated.

The adjustment introduced by depth _weight favors the recommendation of items which are placed deeper in the navigation tree.

Once the user (u_i) gets the list of recommendations for all items, he chooses the highest recommended item for him.

There are two basic entities that drive a recommender system: users who use the recommender system to provide opinions as well as receive recommendations and items that are rated by users.