Sentence examples for recommendations quality from inspiring English sources

Measures of intervention outcomes included congruence between assessed needs and case plan recommendations, quality of the content of the case plan, conveyance of case plans to community treatment providers, and cross-organizational coordination.

In order to define the extent to which GPs complied with guidelines, we developed an assessment instrument based on the main diagnostic and therapeutic recommendations (quality indicators) of the two guidelines in local use [ 16, 17].

Changes in prescribing patterns will be tracked by a set of explicit recommendations (quality indicators) developed by the authors (Table 1), which will be used to analyze changes in baseline and post-intervention prescribing patterns.

In the experiment, the theoretical analysis and simulation experiment results show that the proposed method can accurately recommend the needed services to users, and improve the recommendation quality.

We then plug the actively constructed entity correspondences into a general transferred collaborative-filtering model to improve recommendation quality.

Experimental results show an increased value of coverage of the recommendations provided by TRACCF without affecting recommendation quality.

We show that our approach significantly improves recommendation quality not only for queries with a sparse tag representation but also those that are well-tagged.

The tests on different datasets show that the proposed user similarity model is suitable for the sparse data and effectively improves the prediction accuracy and the recommendation quality.

We surveyed primary care providers to assess their current use of HPV vaccine communication tools, and how these related to their HPV vaccine recommendation quality.

In this paper, we study shortlists as an interface component for recommender systems with the dual goal of supporting the user's decision process, as well as improving implicit feedback elicitation for increased recommendation quality.

From a machine learning perspective, adding items to the shortlist generates a new implicit feedback signal as a by-product of exploration and decision making which can improve recommendation quality.