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Comparison and evaluation of different methods for the feature extraction from educational contents
ArticleAbstract: This paper analyses the capabilities of different techniques to build a semantic representation of ePalabras claves:content analysis, Educational contents, Feature Extraction, Information Retrieval, Recommendation system, Semantic representationAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C., Velasco H.Fuentes:scopusAutonomous recommender system architecture for virtual learning environments
ArticleAbstract: This article proposes an architecture of an intelligent and autonomous recommendation system to be aPalabras claves:Autonomous computing, Context-aware, Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C.Fuentes:scopusAn adaptive hybrid recommendation system architecture
ArticleAbstract: There is a wide variety of recommendation systems, mainly based on content and collaborative filtersPalabras claves:Collaborative filter, Content Based, Hybrid algorithm, Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Varela D.Fuentes:scopusAn automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors
ArticleAbstract: Currently, it is critical to find the correct features from the audio, in order to analyze the inforPalabras claves:Audio feature engineering, Data Mining, Feature Extraction, feature selectionAutores:Jiménez M., José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E.Fuentes:scopusAnalysis of Meta-Features in the Context of Adaptive Hybrid Recommendation Systems
Conference ObjectAbstract: The difficulty in finding the most suitable recommendation algorithm for all requests is a common chPalabras claves:Feature engineering, Hybrid Recommendation systems, Metafeatures in Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Varela D.Fuentes:scopusAffective recommender systems in the educational field. A systematic literature review
ReviewAbstract: Students' emotions have been proven to play a fundamental role in the teaching/learning process. AsPalabras claves:Affective recommendation systems, Emotion recognition, sentiment analysisAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C.Fuentes:scopusFramework for the adaptation of an autonomous academic recommendation system as a service-oriented architecture
ArticleAbstract: The adaptation of traditional systems to service-oriented architectures is very frequent, due to thePalabras claves:Academic recommendation systems, Autonomous computing, Service-oriented architectureAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E.Fuentes:scopusPolarity analysis in different types of documents
ArticleAbstract: Classically, Sentiment Analysis aims to identify the writer’s attitude toward individuals, events, oPalabras claves:Polarity analysis, Sentiment analysis keywords extractionAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C.Fuentes:scopus