Quality model of recommender systems of applications for children and teenagers
Main Article Content
Abstract
Digital content for children and teenagers grows continuously, so recognizing the good quality ones is a complex task, since apps stores do not always provide complete information. In this context apps reviews arise, web sites dedicated to select, evaluate and review these products day by day. Not all of them offer the same quality information: this is why it is necessary to study and compare them. Based on these considerations, 25 recommenders are evaluated according to 27 different criteria, like the structure of the site, the information they provide and their visibility on social media. The evaluation shows which are the best recommenders according to the criteria established in the article.
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