Álvaro Tejeda-Lorente

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 17

Top Topics

Digital Libraries

Recommender Systems

Fuzzy Linguistic

Top Venues

Knowl. Based Syst.

EUSFLAT/IWIFSGN (3)

Publications

Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Inf. 14 (1) (2023)
Carlos Porcel, Julio Herce-Zelaya, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. Int. J. Comput. Commun. Control 15 (3) (2020)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. Knowl. Based Syst. 190 (2020)
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Inf. Sci. 536 (2020)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. ITQM (2019)
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Web platform for learning distributed databases' queries processing. ITQM (2019)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. ITQM (2019)
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
Quantifying the emotional impact of events on locations with social media. Knowl. Based Syst. 146 (2018)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
Adapting Recommender Systems to the New Data Privacy Regulations. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
Leveraging Localized Social Media Insights for Industry Early Warning Systems. Int. J. Inf. Technol. Decis. Mak. 17 (1) (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. SoMeT (2017)
Carlos Porcel, Alberto Ching-López, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries. J. Inf. Process. Syst. 13 (4) (2017)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries. EUSFLAT/IWIFSGN (3) (2017)
Carlos Porcel, Alberto Ching-López, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. EUSFLAT/IWIFSGN (3) (2017)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. EUSFLAT/IWIFSGN (1) (2017)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information. Knowl. Based Syst. 80 (2015)
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
REFORE: A recommender system for researchers based on bibliometrics. Appl. Soft Comput. 30 (2015)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
Emotional Profiling of Locations Based on Social Media. ITQM (2015)
Carlos Porcel, Carmen Martínez-Cruz, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems. ITQM (2015)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A new model to quantify the impact of a topic in a location over time with Social Media. Expert Syst. Appl. 42 (7) (2015)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Pablo Galindo-Moreno, Enrique Herrera-Viedma
A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System. ITQM (2015)
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Recommending scientific papers through a method based on bibliometric measures. IFSA-EUSFLAT (2015)
Álvaro Tejeda-Lorente, Carlos Porcel, Eduardo Peis, Rosa Sanz, Enrique Herrera-Viedma
A quality based recommender system to disseminate information in a university digital library. Inf. Sci. 261 (2014)
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, José Antonio Moral-Muñoz, Enrique Herrera-Viedma
Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System. RSCTC (2014)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries. ITQM (2014)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
Leveraging Localized Social Media Insights for Early Warning Systems. ITQM (2014)
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, Manolo Arroyo, Enrique Herrera-Viedma
TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems. Knowl. Based Syst. 67 (2014)
Carlos Porcel, Álvaro Tejeda-Lorente, María Ángeles Martínez, Enrique Herrera-Viedma
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office. Inf. Sci. 184 (1) (2012)
Álvaro Tejeda-Lorente, Carlos Porcel, María Ángeles Martínez, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma
Using memory to reduce the information overload in a university digital library. ISDA (2011)