Iván Cantador

Iván Cantador

Universidad Autónoma de Madrid

H-index: 44

Europe-Spain

About Iván Cantador

Iván Cantador, With an exceptional h-index of 44 and a recent h-index of 27 (since 2020), a distinguished researcher at Universidad Autónoma de Madrid, specializes in the field of Recommender Systems, Information Retrieval, Semantic Web, Machine Learning, E-Government.

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

Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation

Recommendation fairness in e-participation: Listening to minority, vulnerable and NIMBY citizens

Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content

Dimensionality Reduction for Machine Learning-based Argument Mining

ARGAEL: ARGument Annotation and Evaluation tooL

Building recommenders for modelling languages with Droid

Recommender systems in model-driven engineering: A systematic mapping review

Open government data in higher education: a multidisciplinary innovation teaching experience

Iván Cantador Information

University

Position

___

Citations(all)

7116

Citations(since 2020)

3065

Cited By

5324

hIndex(all)

44

hIndex(since 2020)

27

i10Index(all)

89

i10Index(since 2020)

56

Email

University Profile Page

Universidad Autónoma de Madrid

Google Scholar

View Google Scholar Profile

Iván Cantador Skills & Research Interests

Recommender Systems

Information Retrieval

Semantic Web

Machine Learning

E-Government

Top articles of Iván Cantador

Title

Journal

Author(s)

Publication Date

Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation

Miriam Fernández

Alejandro Bellogín

Iván Cantador

2021/3/26

Recommendation fairness in e-participation: Listening to minority, vulnerable and NIMBY citizens

Marina Alonso-Cortés

Iván Cantador

Alejandro Bellogín

2024

Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content

María E Cortés-Cediel

Andrés Segura-Tinoco

Iván Cantador

Manuel Pedro Rodríguez Bolívar

2023/10/1

Dimensionality Reduction for Machine Learning-based Argument Mining

Andrés Segura-Tinoco

Iván Cantador

2023

ARGAEL: ARGument Annotation and Evaluation tooL

SoftwareX

Andrés Segura-Tinoco

Iván Cantador

2023

Building recommenders for modelling languages with Droid

Lissette Almonte

Esther Guerra

Iván Cantador

Juan De Lara

2022/10/10

Recommender systems in model-driven engineering: A systematic mapping review

International Journal on Software and Systems Modeling

Lissette Almonte

Esther Guerra

Iván Cantador

Juan de Lara

2022

Open government data in higher education: a multidisciplinary innovation teaching experience

Iván Cantador

J. Ignacio Criado

Laura Alcaide Muñoz

María E. Cortés-Cediel

Irene Liarte

2022

A Conversational Agent for Argument-driven E-participation

dg. o 2022: DG. O 2022: The 23rd Annual International Conference on Digital Government Research

Andrés Holgado Sánchez

Iván Cantador Gutiérrez

María E Cortés Cediel

Manuel Pedro Rodríguez Bolívar

2022/9/14

An Argument-based Search Framework: Implementation on a Spanish Corpus in the E-Participation Domain

Andrés Segura-Tinoco

Óscar G. Borzdynski

Iván Cantador

2022

Automatic intent-based classification of citizen-to-government tweets

Lavado

José L.

Iván Cantador

María E. Cortés-Cediel

Miriam Fernández

2021

Predicción de relevancia y controversia de propuestas ciudadanas en la plataforma de presupuestos participativos Decide Madrid

Iván Cantador Gutiérrez

2021

A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government

Iván Cantador

Jesús Viejo-Tardío

María E Cortés-Cediel

Manuel Pedro Rodríguez-Bolívar

2021

Analyzing Citizen Participation and Engagement in European Smart Cities

Social Science Computer Review

María E. Cortés-Cediel

Iván Cantador

Manuel Pedro Rodríguez Bolívar

2021

Rating and aspect-based opinion graph embeddings for explainable recommendations

arXiv preprint arXiv:2107.03385

Iván Cantador

Andrés Carvallo

Fernando Diez

2021/7/7

Automating the Synthesis of Recommender Systems for Modelling Languages

Lissette Almonte

Sara Pérez-Soler

Esther Guerra

Iván Cantador

Juan de Lara

2021/10/17

A flexible and lightweight interactive data mining tool to visualize and analyze digital citizen participation content

Sergio Bachiller

Lara Quijano-Sánchez

Iván Cantador

2021/3/22

On the Extraction and Use of Arguments in Recommender Systems: A Case Study in the E-participation Domain

Andrés Segura-Tinoco

Iván Cantador

2021

Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations

arXiv preprint arXiv:2107.03226

Iván Cantador

Andrés Carvallo

Fernando Diez

Denis Parra

2021/7/7

Capturing and exploiting citation knowledge for recommending recently published papers

Anita Khadka

Iván Cantador

Miriam Fernandez

2020/9/10

See List of Professors in Iván Cantador University(Universidad Autónoma de Madrid)

Co-Authors

H-index: 84
Peter Brusilovsky

Peter Brusilovsky

University of Pittsburgh

H-index: 64
Francesco Ricci

Francesco Ricci

Libera Università di Bolzano

H-index: 48
Joemon Jose

Joemon Jose

University of Glasgow

H-index: 44
Manuel Pedro Rodríguez Bolívar

Manuel Pedro Rodríguez Bolívar

Universidad de Granada

H-index: 42
Shlomo Berkovsky

Shlomo Berkovsky

Macquarie University

H-index: 36
Paolo Cremonesi

Paolo Cremonesi

Politecnico di Milano

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