Sentence examples for development of recommendation from inspiring English sources

Furthermore, the development of recommendation systems is a difficult task due to the implementation of complex algorithms and metrics.

Part of our previous work is related to the design and development of recommendation systems always under the same conditions (shared by the overwhelming majority of these systems): the process of recommendation is executed by powerful servers that try to recommend to the users different types of items (movies, tv series, music, etc).

These processes range from how WHO sets priorities for the development of recommendations to how its recommendations are disseminated and implemented, including recommendations developed at WHO headquarters in Geneva, at its regional offices and in countries.

The findings from this research were reported to project partners in September 2013 in order to support the development of recommendations for the future of collaborative heritage science research [54].

This review contributes to current discussions and development of recommendations within the field of humanitarian healthcare aimed at clarifying how best to respond to palliative care needs in humanitarian crises.

"It is an important step in the development of recommendations," says Robert Grant, a virologist with the J. Gladstone Institutes at the University of California, San Francisco (UCSF), who headed the positive PrEP trial.

Recommendations for carrying out rapid qualitative research in this context included the early designation of community leaders as a point of contact, early and continuous sharing of findings, and development of recommendations with local policy makers and practitioners.

The development of the Guide-O-Game© consisted of: (1) the creation of a multimedia interactive tool, (2) the development of recommendation-based questions, and (3) the definition of the rules of the game.

The development of the Guide-O-Game© consisted of the creation of a multimedia interactive tool, the development of recommendation-based questions, and the definition of the game's rules.

We found sufficient consensus on 47 questions to allow the development of recommendations.

Finally, we selected experts for development of recommendations based upon this model.