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Resumen

 

METIS: DIGITAL DOCUMENTS RECOMMENDATION SYSTEM BASED ON COLLABORATIVE FILTERING

METIS: SISTEMA DE RECOMENDACIÓN DE DOCUMENTOS DIGITALES BASADO EN UN MODELO COLABORATIVO
Lina Maria Osorio Hincapié.
Edwing Andrés Mejía Rengifo.
Jaime Alberto Guzmán Luna.

Abstract: This article shows the implementation of the Digital Document Recommendation System: METIS, which is based on the collaborative filtering concept and explicit feedback. The system allows estimating, using the k-means clustering algorithm, the qualification for the documents that have not yet been considered or qualified by a user. This estimation is based generally on the qualifications given by other users to these documents being based on the concept of the collaborative filtrate. Once these documents are qualified, the system recommends to the user the documents with the highest estimated qualifications.

Resumen: Este artículo muestra la implementación del Sistema de Recomendación de Documentos Digitales METIS, el cual se basa en el concepto de filtrado colaborativo y retroalimentación explicita para realizar su tarea. El sistema permite estimar, utilizando el algoritmo k-means, la calificación para los documentos que aún no han sido considerados o calificados por un usuario. Esta estimación se basa generalmente en las calificaciones dadas por otros usuarios a dichos documentos basándose en el concepto del
filtrado colaborativo. Una vez que se pueden estimar las calificaciones para los documentos no calificados, el sistema recomienda al usuario los documentos con las calificaciones estimadas más altas.

Keywords: Recommendation systems, Collaborative filtering, Explicit feedback, k-means algorithm.