Applying machine learning for tag classification in a collaborative knowledge system
DOI:
https://doi.org/10.55905/oelv21n8-140Keywords:
knowledge, metrics, metadata, recommendation, learningAbstract
The use of technological resources to enhance learning has grown exponentially in recent decades, mainly with the advent of mobile communication devices that increased the interactivity of users who collaborate to form a network of collective intelligence. In this technology environment that uses the Web, there is a large volume of data that is commonly disorganized, which is a challenge to use this data in the learning process in a continuous way to complete the knowledge. This study proposes using metrics capable of measuring knowledge aggregated in metadata shared in a collaborative system to be used in a recommendation system in the tagging process in continuous learning.
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