Álvaro Tejeda-Lorente

31 papers C 5Journal 13Unranked 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems.
Inf.
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2020 J jnl
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2020 J jnl
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests.
Inf. Sci.
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2020 J jnl
Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology.
Int. J. Comput. Commun. Control
Carlos Porcel, Julio Herce-Zelaya, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2019 — conf
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2019 — conf
An automatic skills standardization method based on subject expert knowledge extraction and semantic matching.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2019 — conf
Web platform for learning distributed databases' queries processing.
ITQM
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2018 C conf
Adapting Recommender Systems to the New Data Privacy Regulations.
SoMeT
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2018 C conf
An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
SoMeT
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Leveraging Localized Social Media Insights for Industry Early Warning Systems.
Int. J. Inf. Technol. Decis. Mak.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Quantifying the emotional impact of events on locations with social media.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2018 C conf
Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems.
SoMeT
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2017 — conf
A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
EUSFLAT/IWIFSGN (1)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2017 C conf
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis.
SoMeT
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2017 — conf
Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries.
EUSFLAT/IWIFSGN (3)
Carlos Porcel, Alberto Ching-López, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2017 J jnl
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries.
J. Inf. Process. Syst.
Carlos Porcel, Alberto Ching-López, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2017 — conf
Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries.
EUSFLAT/IWIFSGN (3)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
2015 — conf
A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Pablo Galindo-Moreno, Enrique Herrera-Viedma
2015 J jnl
A new model to quantify the impact of a topic in a location over time with Social Media.
Expert Syst. Appl.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2015 J jnl
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2015 — conf
Emotional Profiling of Locations Based on Social Media.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2015 — conf
Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems.
ITQM
Carlos Porcel, Carmen Martínez-Cruz, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2015 J jnl
REFORE: A recommender system for researchers based on bibliometrics.
Appl. Soft Comput.
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2015 — conf
Recommending scientific papers through a method based on bibliometric measures.
IFSA-EUSFLAT
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2014 J jnl
A quality based recommender system to disseminate information in a university digital library.
Inf. Sci.
Álvaro Tejeda-Lorente, Carlos Porcel, Eduardo Peis, Rosa Sanz, Enrique Herrera-Viedma
2014 — conf
Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System.
RSCTC
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, José Antonio Moral-Muñoz, Enrique Herrera-Viedma
2014 — conf
Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
2014 — conf
Leveraging Localized Social Media Insights for Early Warning Systems.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2014 J jnl
TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems.
Knowl. Based Syst.
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, Manolo Arroyo, Enrique Herrera-Viedma
2012 J jnl
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office.
Inf. Sci.
Carlos Porcel, Álvaro Tejeda-Lorente, María Ángeles Martínez, Enrique Herrera-Viedma
2011 C conf
Using memory to reduce the information overload in a university digital library.
ISDA
Álvaro Tejeda-Lorente, Carlos Porcel, María Ángeles Martínez, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma