Julio Herce-Zelaya

Inf., January, 2023

2020

A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary.

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[DOI]

Knowl. Based Syst., 2020

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests.

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[DOI]

Inf. Sci., 2020

Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology.

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[DOI]

Int. J. Comput. Commun. Control, 2020

2019

A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds.

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[DOI]

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Web platform for learning distributed databases' queries processing.

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[DOI]

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

An automatic skills standardization method based on subject expert knowledge extraction and semantic matching.

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[DOI]

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Adapting Recommender Systems to the New Data Privacy Regulations.

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[DOI]

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems.

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[DOI]

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.

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[DOI]