Juan Bernabé-Moreno

发表

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2019, ITQM.

Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, EUSFLAT/IWIFSGN.

Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2014, ITQM.

Adapting Recommender Systems to the New Data Privacy Regulations

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2018, SoMeT.

A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques

Enrique Herrera-Viedma, Juan Bernabé-Moreno, Carlos Porcel, 2015, IDEAL.

REFORE: A recommender system for researchers based on bibliometrics

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, Appl. Soft Comput..

Recommending scientific papers through a method based on bibliometric measures

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, IFSA-EUSFLAT.

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2020, Knowl. Based Syst..

CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information

Enrique Herrera-Viedma, Hamido Fujita, Álvaro Tejeda-Lorente, 2015, Knowl. Based Syst..

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2018, SoMeT.

Quantifying the emotional impact of events on locations with social media

Enrique Herrera-Viedma, Hamido Fujita, Álvaro Tejeda-Lorente, 2018, Knowl. Based Syst..

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2020, Int. J. Comput. Commun. Control.

A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling

Enrique Herrera-Viedma, Juan Bernabé-Moreno, Carlos Porcel, 2015, Inf. Sci..

A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, SoMeT.

Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, J. Inf. Process. Syst..

Web platform for learning distributed databases' queries processing

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2019, ITQM.

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2019, ITQM.

Leveraging Localized Social Media Insights for Early Warning Systems

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2014, ITQM.

Emotional Profiling of Locations Based on Social Media

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, ITQM.

Leveraging Localized Social Media Insights for Industry Early Warning Systems

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, Int. J. Inf. Technol. Decis. Mak..

A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, ITQM.

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2018, SoMeT.

Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, ITQM.

A new model to quantify the impact of a topic in a location over time with Social Media

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2015, Expert Syst. Appl..

A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, EUSFLAT/IWIFSGN.

Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2017, EUSFLAT/IWIFSGN.

A fuzzy linguistic supported framework to increase Artificial Intelligence intelligibility for subject matter experts

Juan Bernabé-Moreno, Karsten Wildberger, 2019, ITQM.

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

Enrique Herrera-Viedma, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, 2020, Inf. Sci..