Carlos Porcel

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Fuzzy Linguistic

Recommender Systems

Top Venues

Knowl. Based Syst.

Publications

Yanxin Xu, Yanbing Ju, Zaiwu Gong, Junpeng Sun, Peiwu Dong, Carlos Porcel, Enrique Herrera-Viedma
A utility-based three-way group decision consensus model with overlapping subgroups. Inf. Sci. 678 (2024)
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)
Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria
Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. 118 (2022)
Itzcóatl Bueno, Ramón Alberto Carrasco, Carlos Porcel, Gang Kou, Enrique Herrera-Viedma
A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value. Appl. Soft Comput. 101 (2021)
Iván Palomares, James Neve, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
Corrigendum to "Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation" Information Fusion Volume 69 (2020) 103-127. Inf. Fusion 75 (2021)
Iván Palomares, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation. Inf. Fusion 69 (2021)
Francisco Mata, Angeles Verdejo, Luis G. Pérez, Carlos Porcel
A preliminary study of a citizen participation system based on consensus for Decision-making Processes. HICSS (2021)
Itzcóatl Bueno, Ramón Alberto Carrasco, Carlos Porcel, Enrique Herrera-Viedma
Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples. ITQM (2021)
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)
Ivan Palomares, Carlos Porcel, Luiz Augusto Pizzato, Ido Guy, Enrique Herrera-Viedma
Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities on Social Recommendation. CoRR (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)
Osman Taylan, Muhammed R. Kabli, Carlos Porcel, Enrique Herrera-Viedma
Contractor Selection for Construction Projects Using Consensus Tools and Big Data. Int. J. Fuzzy Syst. 20 (4) (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)
Carlos Porcel, Alberto Ching-López, Gastón Lefranc, Vincenzo Loia, Enrique Herrera-Viedma
Sharing notes: An academic social network based on a personalized fuzzy linguistic recommender system. Eng. Appl. Artif. Intell. 75 (2018)
Ramón Alberto Carrasco, Laura N. Forero, Santiago X. López, Enrique Herrera-Viedma, Carlos Porcel
Using the AHP Model to Improve the Measurement of Satisfaction in the ICT Sector. SoMeT (2018)
Victor M. Mondragón, Vicente García-Díaz, Carlos Porcel, Rubén González Crespo
Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data. Soft Comput. 22 (8) (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 Antonio Morente-Molinera, Ignacio Javier Pérez, Francisco Javier Cabrerizo, Carlos Porcel, Enrique Herrera-Viedma
Improving queries and representing heterogeneous information in Fuzzy Ontologies using multi-granular fuzzy linguistic modelling methods. SMC (2016)
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)
Carmen Martínez-Cruz, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Inf. Sci. 311 (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)
Carlos Porcel, María Jesús Lizarte, Juan Bernabé-Moreno, Enrique Herrera-Viedma
A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques. IDEAL (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)
Juan Manuel Moreno, José M. Morales-del-Castillo, Carlos Porcel, Enrique Herrera-Viedma
A quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach. Soft Comput. 14 (8) (2010)
Carlos Porcel, Enrique Herrera-Viedma
Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries. Knowl. Based Syst. 23 (1) (2010)
Carlos Porcel, Juan Manuel Moreno, Enrique Herrera-Viedma
A multi-disciplinar recommender system to advice research resources in University Digital Libraries. Expert Syst. Appl. 36 (10) (2009)
Carlos Porcel, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma
A recommender system for research resources based on fuzzy linguistic modeling. Expert Syst. Appl. 36 (3) (2009)
Carlos Porcel, María Jesús Lizarte, Enrique Herrera-Viedma
A Linguistic Recommender System For University Digital Libraries To Help Users In Their Research Resources Accesses. MCIS (2009)
Carlos Porcel, Enrique Herrera-Viedma
A Fuzzy Linguistic Recommender System to Disseminate the Own Academic Resources in Universities. Web Intelligence/IAT Workshops (2009)
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Sergio Alonso, Juan Manuel Moreno, Francisco Javier Cabrerizo, Carlos Porcel
A computer-supported learning system to help teachers to teach Fuzzy Information Retrieval Systems. Inf. Retr. 12 (2) (2009)
José M. Morales-del-Castillo, Carlos Porcel, Enrique Herrera-Viedma, Eduardo Peis
A Web-Based Service for the Elicitation of Resources in the Biomedical Domain. Web Intelligence/IAT Workshops (2009)
Enrique Herrera-Viedma, Carlos Porcel
Using Incomplete Fuzzy Linguistic Preference Relations to Characterize User Profiles in Recommender Systems. ISDA (2009)
Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Jesús Alcalá-Fdez, Carlos Porcel
A consistency-based procedure to estimate missing pairwise preference values. Int. J. Intell. Syst. 23 (2) (2008)
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, María Luque, Carlos Porcel
A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15 (2) (2007)
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Sergio Alonso, Carlos Porcel, Francisco Javier Cabrerizo
A Linguistic Multi-level Weighted Query Language to Represent User Information Needs. FUZZ-IEEE (2007)
Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Carlos Porcel, Antonio Gabriel López-Herrera
Using Visualization Tools to Guide Consensus in Group Decision Making. WILF (2007)
Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso
Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. IFSA (2) (2007)
Enrique Herrera-Viedma, Gabriella Pasi, Antonio Gabriel López-Herrera, Carlos Porcel
Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words. J. Assoc. Inf. Sci. Technol. 57 (4) (2006)
Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel
Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. MDAI (2006)
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso, Amelia Zafra
Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information. FQAS (2006)
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Carlos Porcel
A New Model of Linguistic Weighted Information Retrieval System. EUSFLAT Conf. (2005)
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Carlos Porcel
Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system. Int. J. Intell. Syst. 20 (9) (2005)
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, María Dolores Olvera, Karina Anaya
A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques. AWIC (2004)