Using memory to reduce the information overload in a university digital library. - Álvaro Tejeda-Lorente; Carlos Porcel; María Ángeles Martínez 001; Antonio Gabriel López-Herrera; Enrique Herrera-Viedma (ISDA, 2011)

A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office. - Carlos Porcel; Álvaro Tejeda-Lorente; María Ángeles Martínez 001; Enrique Herrera-Viedma (Inf. Sci., 2012)

Leveraging Localized Social Media Insights for Early Warning Systems. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2014)

Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2014)

Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System. - Bernabé Esteban; Álvaro Tejeda-Lorente; Carlos Porcel; José Antonio Moral-Muñoz; Enrique Herrera-Viedma (RSCTC, 2014)

A quality based recommender system to disseminate information in a university digital library. - Álvaro Tejeda-Lorente; Carlos Porcel; Eduardo Peis; Rosa Sanz; Enrique Herrera-Viedma (Inf. Sci., 2014)

TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems. - Bernabé Esteban; Álvaro Tejeda-Lorente; Carlos Porcel; Manolo Arroyo; Enrique Herrera-Viedma (Knowl. Based Syst., 2014)

Recommending scientific papers through a method based on bibliometric measures. - Álvaro Tejeda-Lorente; Carlos Porcel; Juan Bernabé-Moreno; Enrique Herrera-Viedma (IFSA-EUSFLAT, 2015)

Emotional Profiling of Locations Based on Social Media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (ITQM, 2015)

Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems. - Carlos Porcel; Carmen Martínez-Cruz; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (ITQM, 2015)

A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Pablo Galindo-Moreno; Enrique Herrera-Viedma (ITQM, 2015)

REFORE: A recommender system for researchers based on bibliometrics. - Álvaro Tejeda-Lorente; Carlos Porcel; Juan Bernabé-Moreno; Enrique Herrera-Viedma (Appl. Soft Comput., 2015)

A new model to quantify the impact of a topic in a location over time with Social Media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (Expert Syst. Appl., 2015)

CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (Knowl. Based Syst., 2015)

A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (1), 2017)

Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. - Carlos Porcel; Alberto Ching-López; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (3), 2017)

Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (3), 2017)

A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2017)

Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries. - Carlos Porcel; Alberto Ching-López; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (J. Inf. Process. Syst., 2017)

An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2018)

Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. - Julio Herce-Zelaya; Carlos Porcel; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (SoMeT, 2018)

Adapting Recommender Systems to the New Data Privacy Regulations. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2018)

Leveraging Localized Social Media Insights for Industry Early Warning Systems. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (Int. J. Inf. Technol. Decis. Mak., 2018)

Quantifying the emotional impact of events on locations with social media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (Knowl. Based Syst., 2018)

An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2019)

Web platform for learning distributed databases' queries processing. - Julio Herce-Zelaya; Carlos Porcel; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (ITQM, 2019)

A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2019)

Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. - Carlos Porcel; Julio Herce-Zelaya; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (Int. J. Comput. Commun. Control, 2020)

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. - Julio Herce-Zelaya; Carlos Porcel; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (Inf. Sci., 2020)

A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (Knowl. Based Syst., 2020)

Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. - Julio Herce-Zelaya; Carlos Porcel; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (Inf., 2023)