Sentence examples for a high recommendation from inspiring English sources
"a high recommendation" is correct and usable in written English
It can be used when praising someone or something that is above average or exceptional. For example, "After his excellent performance in the tournament, I give him a high recommendation."
For the second set of experiments, the dishonest recommenders are assumed to give a high recommendation value between 0.8 to 1.0, thus launching a ballot stuffing attack.
I recommend this book for mid to older teens and I give this book a high recommendation; if you want a unique read that is bound to draw on your every emotion and take you on a very different journey to any other novel that you have delved into, then give it a chance.
However, FCECR can well adapt to the changes in the number of training users and always maintain a high recommendation accuracy.
A certain percentage of recommenders providing the recommendation to the service provider are dishonest and gives a high recommendation value between 0.8 to 1.0, thus launching a BS attack.
A high recommendation from a vet can be extremely good for business.
Every 10 to 50 tweets, include the affiliate link in a Tweet, with a high recommendation.
More patients with laparoscopic appendectomy appeared to be satisfied with their operation method as becomes evident by a higher recommendation rate and a higher satisfaction concerning their scars.
Logistic regression analysis showed that the following factors were associated with a higher recommendation to CAM therapies: own CAM use (odds ratio (OR) = 3.8; 95% confidence interval (CI) = 2.1-6.9, p = 0.001) and practising CAM (OR 4.4; 95% CI = 1.6-11.7, p = 0.003).
When all the variables were entered into a logistic regression analysis, the following factors were associated with a higher recommendation to CAM: own CAM use (OR = 3.8; 95% CI = 2.1-6.9, p = 0.001) and practising CAM (OR 4.4; 95% CI = 1.6-11.7, p = 0.003) (Table 7).
It should be stressed that many of the recommendations derived from the literature and present in many international guidelines have a relatively low level of evidence but a relatively high recommendation based on expert consensus.
Because various uncertainties exist within both product and customer data, it is a challenge to achieve high recommendation accuracy.
