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2020 – today
- 2024
[j31]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: 120904 (2024)- 2023
- [j30]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): 19 (2023) - 2022
- [j29]Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria:
Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. 118: 108246 (2022) - 2021
- [j28]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: 107045 (2021) - [j27]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: 103-127 (2021) - [j26]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: 101 (2021) - [c36]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: 1-10 - [c35]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: 718-724 - 2020
- [j25]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) - [j24]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: 156-170 (2020) - [j23]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: 105236 (2020)
2010 – 2019
- 2019
- [c34]Shuang Li, Jun Sasaki, Carlos Porcel Gallego, Enrique Herrera-Viedma:
Features Words Extraction Methods of POI for Japanese FIT Using Comments in a Tourism Web Site. EJC 2019: 488-500 - [c33]Rocío González Martínez, Ramón Alberto Carrasco, Jesús García-Madariaga, Carlos Porcel Gallego, Enrique Herrera-Viedma:
A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business. ITQM 2019: 281-289 - [c32]Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma:
Web platform for learning distributed databases' queries processing. ITQM 2019: 827-834 - [c31]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: 857-864 - [c30]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: 916-923 - 2018
- [j22]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: 1-10 (2018) - [j21]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): 1267-1281 (2018) - [j20]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): 357-385 (2018) - [j19]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: 44-57 (2018) - [j18]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): 2731-2752 (2018) - [c29]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: 299-311 - [c28]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: 347-360 - [c27]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: 373-385 - [c26]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: 735-748 - 2017
- [j17]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): 653-667 (2017) - [c25]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: 195-206 - [c24]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: 199-210 - [c23]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: 393-404 - [c22]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma:
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. SoMeT 2017: 99-114 - 2016
- [c21]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: 290-295 - 2015
- [j16]Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
REFORE: A recommender system for researchers based on bibliometrics. Appl. Soft Comput. 30: 778-791 (2015) - [j15]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): 3381-3395 (2015) - [j14]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: 102-118 (2015) - [j13]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: 163-179 (2015) - [c20]Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Recommending scientific papers through a method based on bibliometric measures. IFSA-EUSFLAT 2015 - [c19]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: 493-500 - [c18]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: 603-612 - [c17]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma:
Emotional Profiling of Locations Based on Social Media. ITQM 2015: 960-969 - [c16]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: 1143-1150 - 2014
- [j12]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: 52-69 (2014) - [j11]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: 429-438 (2014) - [c15]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: 1036-1043 - [c14]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma:
Leveraging Localized Social Media Insights for Early Warning Systems. ITQM 2014: 1051-1060 - [c13]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: 250-261 - 2012
- [j10]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): 1-19 (2012) - 2011
- [c12]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: 444-449 - 2010
- [j9]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): 32-39 (2010) - [j8]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): 887-897 (2010)
2000 – 2009
- 2009
- [j7]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): 5173-5183 (2009) - [j6]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): 12520-12528 (2009) - [j5]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): 179-200 (2009) - [c11]Carlos Porcel, Enrique Herrera-Viedma:
A Fuzzy Linguistic Recommender System to Disseminate the Own Academic Resources in Universities. Web Intelligence/IAT Workshops 2009: 179-182 - [c10]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: 433-436 - [c9]Enrique Herrera-Viedma, Carlos Porcel:
Using Incomplete Fuzzy Linguistic Preference Relations to Characterize User Profiles in Recommender Systems. ISDA 2009: 90-95 - [c8]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: 133 - 2008
- [j4]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): 155-175 (2008) - [p2]Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso:
A Fuzzy Linguistic Recommender System to Advice Research Resources in University Digital Libraries. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 567-585 - 2007
- [j3]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): 225-250 (2007) - [c7]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: 1-6 - [c6]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: 71-80 - [c5]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: 77-85 - 2006
- [j2]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): 538-549 (2006) - [c4]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: 390-403 - [c3]Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel:
Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. MDAI 2006: 34-45 - 2005
- [j1]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): 921-937 (2005) - [c2]Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Carlos Porcel:
A New Model of Linguistic Weighted Information Retrieval System. EUSFLAT Conf. 2005: 576-581 - [p1]Enrique Herrera-Viedma, Carlos Porcel, Francisco Herrera, Luis Martínez-López, Antonio Gabriel López-Herrera:
Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. Intelligent Data Mining 2005: 463-486 - 2004
- [c1]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: 3-12
Coauthor Index
[j31] [j30] [j28] [j27] [j26] [c35] [j25] [j24] [j23] [c34] [c33] [c32] [c31] [c30] [j22] [j21] [j20] [j19] [c29] [c28] [c27] [c26] [j17] [c25] [c24] [c23] [c22] [c21] [j16] [j15] [j14] [j13] [c20] [c19] [c18] [c17] [c16] [j12] [j11] [c15] [c14] [c13] [j10] [c12] [j9] [j8] [j7] [j6] [j5] [c11] [c10] [c9] [c8] [j4] [p2] [j3] [c7] [c6] [c5] [j2] [c4] [c3] [j1] [c2] [p1] [c1]
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