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For CSP, most clinical practice guidelines agree on the use of brief education about the problem, recommendations to stay active, adjunctive analgesics, non-steroidal anti-inflammatory drugs, weak opioids (short-term use), exercise therapy (of any sort), spinal manipulation, multidisciplinary rehabilitation, cognitive behavioral therapy, and strong opioids [ 2, 5, 10, 11].
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To minimize this problem, recommendation systems for scientific workflows have been proposed [4, 11 23].
Similar to the venue recommendation problem, recommendation techniques such as content and collaborative-based methods are used to match attendees and session presentations.
Wang et al. [18] solved the problem of recommendation trust based on the Bayesian method.
This paper deals with the problem of recommendation for a group of users, where, besides his/her own preferences, each user may have different expectations about the result of the recommendation and may exhibit a different behaviour with respect to the other group members.
Furthermore, the same objective criteria that identified the problems in recommendations can also be used to generate solutions, and hence the potential to improve the overall implementibility of the guideline.
On the other hand, it is important to acknowledge that we elicited only one side of the story and did not verify organisations' claims about the problems with recommendations.
The content of the meeting included food diary analysis, advice on dietary adaptation to address the most common nutritional problems, recommendations regarding basic cooking techniques, adaptation of textures, or nutritional supplements for patients in need of extra calories.
HMIC said the problem remained despite recommendations in a 2012 IPCC report on the issue, which appear to have not been acted on.
The recommendation approach using linked data increases the possibility of finding educational content from different sources that are constantly being updated, avoiding the problem of new recommendations lack.
Chefs Feed hopes to provide insights to solve the problem of restaurant recommendations by leaning on the people who should know best — chefs themselves.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com