Carlos Porcel

About Carlos Porcel

Carlos Porcel, With an exceptional h-index of 25 and a recent h-index of 20 (since 2020), a distinguished researcher at Universidad de Granada, specializes in the field of Recommender systems, information filtering, fuzzy linguistic modeling, social media..

His recent articles reflect a diverse array of research interests and contributions to the field:

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Introducing CSP dataset: A dataset optimized for the study of the cold start problem in recommender systems

Soft computing for recommender systems and sentiment analysis

Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples

A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value

A preliminary study of a citizen participation system based on consensus for Decision-making Processes

Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business.

Carlos Porcel Information

University

Position

___

Citations(all)

2974

Citations(since 2020)

1155

Cited By

2249

hIndex(all)

25

hIndex(since 2020)

20

i10Index(all)

34

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Carlos Porcel Skills & Research Interests

Recommender systems

information filtering

fuzzy linguistic modeling

social media.

Top articles of Carlos Porcel

Title

Journal

Author(s)

Publication Date

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Gricela Andrade-Ruiz

Ramón-Alberto Carrasco

Carlos Porcel

Jesús Serrano-Guerrero

Francisco Mata

...

2024/3/27

Introducing CSP dataset: A dataset optimized for the study of the cold start problem in recommender systems

Information

Julio Herce-Zelaya

Carlos Porcel

Álvaro Tejeda-Lorente

Juan Bernabé-Moreno

Enrique Herrera-Viedma

2022/12/29

Soft computing for recommender systems and sentiment analysis

Lorenzo Malandri

Carlos Porcel

Frank Xing

Jesus Serrano-Guerrero

Erik Cambria

2022/3/1

Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples

Procedia Computer Science

Itzcóatl Bueno

Ramón A Carrasco

Carlos Porcel

Enrique Herrera-Viedma

2022/1/1

A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value

Applied Soft Computing

Itzcóatl Bueno

Ramón A Carrasco

Carlos Porcel

Gang Kou

Enrique Herrera-Viedma

2021/3/1

A preliminary study of a citizen participation system based on consensus for Decision-making Processes

Francisco Mata

Angeles Verdejo

Luis Pérez

Carlos Porcel

2021

Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

Ivan Palomares

Carlos Porcel

Luiz Pizzato

Ido Guy

Enrique Herrera-Viedma

2020/7/17

A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business.

Procedia Computer Science

Rocío González Martínez

Ramón Alberto Carrasco

Jesús García-Madariaga

Carlos Porcel Gallego

Enrique Herrera-Viedma

2019/1/1

Features words extraction methods of POI for Japanese FIT using comments in a tourism web site

Shuang Li

Jun Sasaki

Carlos Porcel Gallego

Enrique Herrera-Viedma

2020

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests

Information Sciences

Julio Herce-Zelaya

Carlos Porcel

Juan Bernabé-Moreno

A Tejeda-Lorente

Enrique Herrera-Viedma

2020/10/1

Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology

International Journal of Computers Communications & Control

Carlos Porcel

Julio Herce-Zelaya

Juan Bernabé-Moreno

Enrique Herrera-Viedma

2020/4/21

A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary

Knowledge-Based Systems

Juan Bernabé-Moreno

A Tejeda-Lorente

Julio Herce-Zelaya

Carlos Porcel

Enrique Herrera-Viedma

2020/2/29

See List of Professors in Carlos Porcel University(Universidad de Granada)

Co-Authors

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