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September 8, 2020 07:58
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Sugerencias kNN | |
"Un conocido algoritmo de Data Science y Machine Learning es k-Nearest-Neighbor (kNN ó K-vecinos más cercanos). ARN aplica este algoritmo para generar sugerencias de perfil. De este modo, si un profesional dispone de las habilidades de PHP y jQuery, posiblemente reciba una recomendación de completar su perfil con un test de AJAX. El algoritmo no conoce de forma ad-hoc la conexión entre AJAX y PHP+jQuery, sino que simplemente analiza los perfiles más parecidos al profesional (K-vecinos más cercanos) y observa una tendencia que no está presente en el perfil del sujeto. De esta forma, se aplica inteligencia colectiva para que ARN aprenda las relaciones entre la compleja taxonomía de skills profesionales. Obviamente los skills identificados como de potencial interés para el usuario han de plantearse como sugerencias." | |
#kNN #kNearestNeighbors #machineLearning #inteligenciaColectiva #inteligenciaArtificial | |
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KNN recommendations | |
"A well-known Data Science and Machine Learning algorithm is k-Nearest-Neighbor (kNN or K-nearest neighbors). ARN applies this algorithm to generate profile suggestions. In this way, if you are a professional has the PHP+jQuery skill, you may receive a recommendation to complete your profile with an AJAX test. The algorithm does not know ad-hoc the connection between AJAX and PHP+jQuery, but simply parses the most professional-like profiles (K-closest neighbors) and observes a trend that is not present in the subject's profile. In this way, collective intelligence is applied so that ARN learns the relationships between the complex taxonomy of professional skills. Obviously the skills identified as of potential interest to the user must come up as suggestions." | |
#kNN #kNearestNeighbors #machineLearning #collectiveintelligence #Artificialintelligence | |
https://www.freelancer.com/community/articles/arn-como-consigue-nubelo-perfect-matching |
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