Burke [16] proposed the restraint-based recommendation system based on recommendation knowledge base while in [17] Burke proposed the case-based recommendation approach.
They are useful in social media marketing, community structure analysis, social recommendation, knowledge extraction and link prediction [100], among other things.
The questions posed led the discussion to cover a number of areas of interest, namely factors affecting their recommendation of CMs, family and personal use of CMs, information sources for CMs, patterns of CM recommendation, knowledge of CMs, and pharmacy protocols for the recommendation of CMs.
In this section, we briefly review the existing recommendation approaches which fall into four main categories: collaborative filtering recommendation, content-based recommendation, knowledge-based recommendation, and hybrid recommendation.
These originate from manufacturer recommendations, expert knowledge, survey QC data, baseline values and national policies (e.g. existing dose reference levels).
Univariate and bivariate analyses were conducted to explore CAM recommendations, attitudes, knowledge and information seeking behaviours.
It will also provide recommendations and knowledge about the processes of consumer engagement which challenge many governments across the world.
Although American studies have assessed obstetric provider recommendations and knowledge [ 12, 16], we could find no studies in this area which assessed aspects of maternity professionals' lifestyles and personal characteristics against selected elements of clinical practice.
The outcomes of this study will include recommendations and knowledge about the attitudes and preferences of older people and their informal carers within Australia for a CDC approach to service delivery.
