Sentence examples for recommendation driven by from inspiring English sources

Exact(1)

This labelling will mostly apply to the SLR; any recommendation driven by original data analysis will most likely fall into category 3, as they typically represent secondary analysis of available datasets.

Similar(59)

Colonel Holcomb drove those changes, said Colonel Flaherty, who added that the Army was willing to make them because both senior and junior officers trusted Colonel Holcomb to offer recommendations driven by hard data rather than untested assumptions.

We spend hours a day interacting with digital apps (we check our phones 8 billion times a day), we are monitored closely by digital devices and we are influenced by suggestions, nudges and recommendations driven by analytics and behavioral economics.

For example, we operate a number of e-commerce brands that could benefit from improved product recommendation systems driven by machine learning.

Whether the system's biases are intentional or not, once customers realize that the recommendations are driven by positive ratings, they tend to shy away from giving movies negative ratings.

In this understanding, this first major block of recommendations is driven by an advanced interpretation of science diplomacy, which aims at supporting the establishment of a smooth multifaceted framework for future enhanced international R&D cooperation.

These recommendations are driven by the high proportion of UTIs in men with prostate involvement and concerns surrounding antibiotic resistance to TMP/SMX [ 7, 8].

In this section, Mr. Rosenstein emphasizes that his recommendation is not driven by partisan considerations, but rather by his break from Justice Department traditions and procedures.

We used a flowchart to illustrate the best practice recommendation which was driven by 2 critical components: (1) availability of information on the unmeasured confounders; and (2) goals of the unmeasured confounding assessment.

Think of it as Twitter's recently launched 'who to follow' recommendation engine, only driven by regular users rather than algorithmically.

Therefore, we propose a practical risk-based framework and recommendations for trials driven by imaging biomarkers, which allow identification of risks at trial initiation to better allocate resources and prioritise key tasks.

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