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ORCIDIván Cantador
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- affiliation: Autonomous University of Madrid, Spain
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2020 – today
- 2024
[j28]Lissette Almonte
, Esther Guerra, Iván Cantador, Juan de Lara:
Engineering recommender systems for modelling languages: concept, tool and evaluation. Empir. Softw. Eng. 29(4): 102 (2024)- [c88]Marina Alonso-Cortés, Iván Cantador, Alejandro Bellogín:
Recommendation Fairness in eParticipation: Listening to Minority, Vulnerable and NIMBY Citizens. ECIR (4) 2024: 420-436 - [c87]Javier Wang, Alejandro Bellogín, Iván Cantador:
Integrating sentiment features in factorization machines: Experiments on music recommender systems. UMAP 2024: 183-188 - [c86]Miriam Fernández, Alejandro Bellogín, Iván Cantador:
Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation. WebSci 2024: 159-169 - 2023
- [j27]María E. Cortés-Cediel, Andrés Segura-Tinoco, Iván Cantador, Manuel Pedro Rodríguez Bolívar:
Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content. Gov. Inf. Q. 40(4): 101877 (2023) - [j26]Andrés Segura-Tinoco, Iván Cantador:
ARGAEL: ARGument Annotation and Evaluation tooL. SoftwareX 23: 101410 (2023) - [c85]Andrés Segura-Tinoco, Iván Cantador:
Dimensionality Reduction for Machine Learning-based Argument Mining. ArgMining@EMNLP 2023: 89-99 - 2022
- [j25]Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara:
Recommender systems in model-driven engineering. Softw. Syst. Model. 21(1): 249-280 (2022) - [c84]Andrés Segura-Tinoco, Oscar G. Borzdynski, Iván Cantador:
An Argument-based Search Framework: Implementation on a Spanish Corpus in the E-Participation Domain. CIRCLE 2022 - [c83]Andrés Segura-Tinoco, Andrés Holgado-Sánchez, Iván Cantador, María E. Cortés-Cediel, Manuel Pedro Rodríguez Bolívar:
A Conversational Agent for Argument-driven E-participation. DG.O 2022: 191-205 - [c82]Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara:
Building recommenders for modelling languages with Droid. ASE 2022: 155:1-155:4 - [c81]Iván Cantador, J. Ignacio Criado, Laura Alcaide-Muñoz, María E. Cortés-Cediel, Irene Liarte:
Open Government Data in Higher Education: A Multidisciplinary Innovation Teaching Experience. MIS4TEL 2022: 155-164 - [r2]Maurizio Ferrari Dacrema, Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Design and Evaluation of Cross-Domain Recommender Systems. Recommender Systems Handbook 2022: 485-516 - 2021
- [c80]Iván Cantador, Jesús Viejo-Tardío, María E. Cortés-Cediel, Manuel Pedro Rodríguez Bolívar:
A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government. DG.O 2021: 168-179 - [c79]José L. Lavado, Iván Cantador, María E. Cortés-Cediel, Miriam Fernández:
Automatic Intent-based Classification of Citizen-to-Government Tweets. EGOV-CeDEM-ePart-* 2021: 47-55 - [c78]Andrés Segura-Tinoco, Iván Cantador:
On the Extraction and Use of Arguments in Recommender Systems: A Case Study in the E-participation Domain (Long paper). KaRS/ComplexRec@RecSys 2021 - [c77]Sergio Bachiller, Lara Quijano Sánchez, Iván Cantador:
A flexible and lightweight interactive data mining tool to visualize and analyze digital citizen participation content. SAC 2021: 413-416 - [c76]Lissette Almonte, Sara Pérez-Soler, Esther Guerra, Iván Cantador, Juan de Lara:
Automating the synthesis of recommender systems for modelling languages. SLE 2021: 22-35 - [i5]Miriam Fernández, Alejandro Bellogín, Iván Cantador:
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation. CoRR abs/2103.14748 (2021) - [i4]Iván Cantador, Andrés Carvallo, Fernando Díez, Denis Parra:
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations. CoRR abs/2107.03226 (2021) - [i3]Iván Cantador, Andrés Carvallo, Fernando Díez:
Rating and aspect-based opinion graph embeddings for explainable recommendations. CoRR abs/2107.03385 (2021) - 2020
- [j24]Iván Cantador, María E. Cortés-Cediel, Miriam Fernández:
Exploiting Open Data to analyze discussion and controversy in online citizen participation. Inf. Process. Manag. 57(5): 102301 (2020) - [j23]Lara Quijano Sánchez, Iván Cantador, María E. Cortés-Cediel, Olga Gil:
Recommender systems for smart cities. Inf. Syst. 92: 101545 (2020) - [j22]Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
CIRCLE 2020: the first joint conference of the information retrieval communities in Europe. SIGIR Forum 54(2): 9:1-9:9 (2020) - [c75]Iván Cantador, Lara Quijano Sánchez:
Semantic Annotation and Retrieval of Parliamentary Content: A Case Study on the Spanish Congress of Deputies. CIRCLE 2020 - [c74]María Hernández-Rubio, Alejandro Bellogín, Iván Cantador:
Aspect-based Active Learning for User Preference Elicitation in Recommender Systems. CIRCLE 2020 - [c73]Lara Quijano Sánchez, Iván Cantador:
Structured Argumentation Modeling and Extraction: Understanding the Semantics of Parliamentary Content. CIRCLE 2020 - [c72]María E. Cortés-Cediel, Iván Cantador, Manuel Pedro Rodríguez Bolívar:
Technological and Human Development of Smart Cities: An Empirical Characterization of EUROCITIES Case Studies. HICSS 2020: 1-10 - [c71]Anita Khadka, Iván Cantador, Miriam Fernández:
Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications. LREC 2020: 2231-2240 - [c70]Lissette Almonte, Iván Cantador, Esther Guerra, Juan de Lara:
Towards automating the construction of recommender systems for low-code development platforms. MoDELS (Companion) 2020: 66:1-66:10 - [c69]Anita Khadka, Iván Cantador, Miriam Fernández:
Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers. WETICE 2020: 239-244 - [e9]Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, Gers, France, July 6-9, 2020. CEUR Workshop Proceedings 2621, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j21]María Hernández-Rubio, Iván Cantador, Alejandro Bellogín:
A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews. User Model. User Adapt. Interact. 29(2): 381-441 (2019) - [j20]Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, Tommaso Di Noia:
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. User Model. User Adapt. Interact. 29(2): 443-486 (2019) - [c68]Milos Kravcik, Iván Cantador:
UMAP 2019 Workshops & Tutorials Overview and Organization. UMAP (Adjunct Publication) 2019: 111-113 - 2018
- [c67]Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo:
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback. CAEPIA 2018: 3-12 - [c66]Iván Cantador, María E. Cortés-Cediel:
Towards increasing citizen engagement in participatory budgeting digital tools. DG.O 2018: 91:1-91:2 - [c65]María E. Cortés-Cediel, Olga Gil, Iván Cantador:
Defining the engagement life cycle in e-participation. DG.O 2018: 93:1-93:2 - [c64]Iván Cantador, María E. Cortés-Cediel, Miriam Fernández, Harith Alani:
What's going on in my city?: recommender systems and electronic participatory budgeting. RecSys 2018: 219-223 - [e8]Shlomo Berkovsky, Iván Cantador, Domonkos Tikk:
Collaborative Recommendations - Algorithms, Practical Challenges and Applications. WorldScientific 2018, ISBN 978-981-3275-34-8 [contents] - 2017
- [j19]Paolo Tomeo, Ignacio Fernández-Tobías, Iván Cantador, Tommaso Di Noia:
Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-2): 57-78 (2017) - [j18]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Statistical biases in Information Retrieval metrics for recommender systems. Inf. Retr. J. 20(6): 606-634 (2017) - [c63]Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon:
Recommender systems for citizens: the CitRec'17 workshop manifesto. CitRec@RecSys 2017: 1:1-1:4 - [c62]Iván Cantador, Alejandro Bellogín, María E. Cortés-Cediel, Olga Gil:
Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform. CitRec@RecSys 2017: 5:1-5:6 - [c61]María E. Cortés-Cediel, Iván Cantador, Olga Gil:
Recommender systems for e-governance in smart cities: state of the art and research opportunities. CitRec@RecSys 2017: 7:1-7:6 - [c60]Pedro G. Campos, Nicolás Rodríguez-Artigot, Iván Cantador:
Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach. ComplexRec@RecSys 2017: 14-18 - [p5]Hassan Saif, F. Javier Ortega, Miriam Fernández, Iván Cantador:
Sentiment Analysis in Social Streams. Emotions and Personality in Personalized Services 2017: 119-140 - 2016
- [j17]Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador:
Alleviating the new user problem in collaborative filtering by exploiting personality information. User Model. User Adapt. Interact. 26(2-3): 221-255 (2016) - [c59]Pablo Sánchez, Alejandro Bellogín, Iván Cantador:
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. CERI 2016: 8 - [c58]Paolo Tomeo, Ignacio Fernández-Tobías, Tommaso Di Noia, Iván Cantador:
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback. CERI 2016: 11 - [c57]Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio:
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback. RecSys 2016: 119-122 - 2015
- [j16]Toine Bogers, Marijn Koolen, Iván Cantador:
Report on RecSys 2014: Workshop on New Trends in Content-Based Recommender Systems. SIGIR Forum 49(1): 20-26 (2015) - [c56]Borja Gil, Iván Cantador, Andrzej Marczewski:
Validating Gamification Mechanics and Player Types in an E-learning Environment. EC-TEL 2015: 568-572 - [c55]Ignacio Fernández-Tobías, Iván Cantador:
On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering. UMAP 2015: 343-349 - [r1]Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Cross-Domain Recommender Systems. Recommender Systems Handbook 2015: 919-959 - 2014
- [j15]Marius Kaminskas, Ignacio Fernández-Tobías, Francesco Ricci, Iván Cantador:
Knowledge-based identification of music suited for places of interest. J. Inf. Technol. Tour. 14(1): 73-95 (2014) - [j14]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach. ACM Trans. Web 8(2): 12:1-12:30 (2014) - [j13]Pedro G. Campos, Fernando Díez, Iván Cantador:
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols. User Model. User Adapt. Interact. 24(1-2): 67-119 (2014) - [c54]Iván Cantador, Ignacio Fernández-Tobías:
On the Exploitation of User Personality in Recommender Systems. DMRS 2014: 42-45 - [c53]Ignacio Fernández-Tobías, Iván Cantador:
Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data. EC-Web 2014: 125-137 - [c52]Tommaso Di Noia, Iván Cantador, Vito Claudio Ostuni:
Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation. SemWebEval@ESWC 2014: 129-143 - [c51]Ignacio Fernández-Tobías, Iván Cantador:
Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering. CBRecSys@RecSys 2014: 34-41 - [c50]Toine Bogers, Marijn Koolen, Iván Cantador:
Workshop on new trends in content-based recommender systems: (CBRecSys 2014). RecSys 2014: 379-380 - [c49]Iván Cantador, Paolo Cremonesi:
Tutorial on cross-domain recommender systems. RecSys 2014: 401-402 - [c48]Pedro G. Campos, Iván Cantador, Fernando Díez, Ignacio Fernández-Tobías:
A Criterion Based on Fisher's Exact Test for Item Splitting in Context-Aware Recommender Systems. SCCC 2014: 80-82 - [e7]Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai:
Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Communications in Computer and Information Science 475, Springer 2014, ISBN 978-3-319-12023-2 [contents] - [e6]Toine Bogers, Marijn Koolen, Iván Cantador:
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, CBRecSys@RecSys 2014, Foster City, Silicon Valley, California, USA, October 6, 2014. CEUR Workshop Proceedings 1245, CEUR-WS.org 2014 [contents] - [e5]Iván Cantador, Min Chi, Rosta Farzan, Robert Jäschke:
Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014. CEUR Workshop Proceedings 1181, CEUR-WS.org 2014 [contents] - 2013
- [j12]David Vallet, Iván Cantador, Joemon M. Jose:
Exploiting semantics on external resources to gather visual examples for video retrieval. Int. J. Multim. Inf. Retr. 2(2): 117-130 (2013) - [j11]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A comparative study of heterogeneous item recommendations in social systems. Inf. Sci. 221: 142-169 (2013) - [j10]Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza:
A social tag-based dimensional model of emotions: Building cross-domain folksonomies. Proces. del Leng. Natural 51: 195-202 (2013) - [j9]Alejandro Bellogín, Iván Cantador, Fernando Díez, Pablo Castells, Enrique Chavarriaga:
An empirical comparison of social, collaborative filtering, and hybrid recommenders. ACM Trans. Intell. Syst. Technol. 4(1): 14:1-14:29 (2013) - [c47]Pedro G. Campos, Alejandro Bellogín, Iván Cantador, Fernando Díez:
Time-Aware Evaluation of Methods for Identifying Active Household Members in Recommender Systems. CAEPIA 2013: 22-31 - [c46]Ignacio Fernández-Tobías, Pedro G. Campos, Iván Cantador, Fernando Díez:
A Contextual Modeling Approach for Model-Based Recommender Systems. CAEPIA 2013: 42-51 - [c45]Pedro G. Campos, Iván Cantador, Fernando Díez:
Exploiting time contexts in collaborative filtering: an item splitting approach. CaRR@WSDM 2013: 3-6 - [c44]Alejandro Bellogín, Iván Cantador, Pablo Castells, Fernando Díez:
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. DIR 2013: 40-41 - [c43]Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza:
An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations. EC-Web 2013: 88-100 - [c42]Pedro G. Campos, Ignacio Fernández-Tobías, Iván Cantador, Fernando Díez:
Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches. EC-Web 2013: 137-149 - [c41]Marius Kaminskas, Ignacio Fernández-Tobías, Iván Cantador, Francesco Ricci:
Ontology-Based Identification of Music for Places. ENTER 2013: 436-447 - [c40]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Improving memory-based collaborative filtering by neighbour selection based on user preference overlap. OAIR 2013: 145-148 - [c39]Iván Cantador, Ignacio Fernández-Tobías, Alejandro Bellogín:
Relating Personality Types with User Preferences in Multiple Entertainment Domains. UMAP Workshops 2013 - [c38]Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza:
Modeling Emotions with Social Tags. UMAP 2013: 331-334 - [i2]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting Recommender System Performance from an Information Retrieval Perspective. Tiny Trans. Comput. Sci. 2 (2013) - 2012
- [j8]Andrés García-Silva, Iván Cantador, Óscar Corcho:
Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach. Int. J. Semantic Web Inf. Syst. 8(3): 24-41 (2012) - [j7]Felisa Verdejo, Raquel Martínez-Unanue, Pablo Castells, Antonio Moreno-Sandoval, Doroteo T. Toledano, Paloma Martínez, Abraham Duarte, José Manuel Pardo, Manuel Buenaga, Juan Cigarrán, Víctor Fresno-Fernández, Ana García-Serrano, Iván Cantador, David Vallet, A. Martínez:
Mejorando el acceso, el análisis y la visibilidad de la Información y los contenidos Multilingues y Multimedia en Red para la Comunidad de Madrid. Proces. del Leng. Natural 49: 189-192 (2012) - [j6]José Carlos Cortizo, Francisco M. Carrero, Iván Cantador, José A. Troyano, Paolo Rosso:
Introduction to the Special Section on Search and Mining User-Generated Content. ACM Trans. Intell. Syst. Technol. 3(4): 65:1-65:3 (2012) - [c37]Pedro G. Campos, Alejandro Bellogín, Fernando Díez, Iván Cantador:
Time feature selection for identifying active household members. CIKM 2012: 2311-2314 - [c36]Haggai Roitman, Iván Cantador, Miriam Fernández:
Workshop on multimodal crowd sensing (CrowdSens 2012). CIKM 2012: 2770-2771 - [c35]Marius Kaminskas, Ignacio Fernández-Tobías, Francesco Ricci, Iván Cantador:
Knowledge-based music retrieval for places of interest. MIRUM 2012: 19-24 - [p4]Iván Cantador, Pablo Castells:
Group Recommender Systems: New Perspectives in the Social Web. Recommender Systems for the Social Web 2012: 139-157 - 2011
- [j5]Iván Cantador, Pablo Castells:
Extracting multilayered Communities of Interest from semantic user profiles: Application to group modeling and hybrid recommendations. Comput. Hum. Behav. 27(4): 1321-1336 (2011) - [j4]Iván Cantador, Pablo Castells, Alejandro Bellogín:
An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation. Int. J. Semantic Web Inf. Syst. 7(1): 44-78 (2011) - [j3]Iván Cantador, Ioannis Konstas, Joemon M. Jose:
Categorising social tags to improve folksonomy-based recommendations. J. Web Semant. 9(1): 1-15 (2011) - [j2]Miriam Fernández, Iván Cantador, Vanessa López, David Vallet, Pablo Castells, Enrico Motta:
Semantically enhanced Information Retrieval: An ontology-based approach. J. Web Semant. 9(4): 434-452 (2011) - [c34]Iván Cantador, José Carlos Cortizo, Francisco M. Carrero, José A. Troyano, Paolo Rosso, Markus Schedl:
Overview of the third international workshop on search and mining user-generated contents. CIKM 2011: 2625-2626 - [c33]Iván Cantador, Alejandro Bellogín, Ignacio Fernández-Tobías, Sergio López Hernández:
Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations. EC-Web 2011: 101-113 - [c32]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting the Performance of Recommender Systems: An Information Theoretic Approach. ICTIR 2011: 27-39 - [c31]Ignacio Fernández-Tobías, Iván Cantador, Marius Kaminskas, Francesco Ricci:
A generic semantic-based framework for cross-domain recommendation. HetRec@RecSys 2011: 25-32 - [c30]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Precision-oriented evaluation of recommender systems: an algorithmic comparison. RecSys 2011: 333-336 - [c29]Iván Cantador, Peter Brusilovsky, Tsvi Kuflik:
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011). RecSys 2011: 387-388 - [c28]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Self-adjusting hybrid recommenders based on social network analysis. SIGIR 2011: 1147-1148 - [c27]Ignacio Fernández-Tobías, Iván Cantador, Alejandro Bellogín:
Semantic Disambiguation and Contextualisation of Social Tags. UMAP Workshops 2011: 181-197 - [e4]Iván Cantador, Francisco M. Carrero, José Carlos Cortizo, Paolo Rosso, Markus Schedl, José A. Troyano:
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, SMUC 2011, Glasgow, United Kingdom, October 28, 2011. ACM 2011, ISBN 978-1-4503-0949-3 [contents] - [e3]Iván Cantador, Peter Brusilovsky, Tsvi Kuflik:
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '11, Chicago, Illinois, USA, October 27, 2011. ACM 2011, ISBN 978-1-4503-1027-7 [contents] - 2010
- [c26]José Carlos Cortizo, Francisco M. Carrero, Iván Cantador, José A. Troyano, Paolo Rosso:
Overview of the 2nd international workshop on search and mining user-generated contents. CIKM 2010: 1981-1982 - [c25]David Vallet, Iván Cantador, Joemon M. Jose:
Personalizing Web Search with Folksonomy-Based User and Document Profiles. ECIR 2010: 420-431 - [c24]Iván Cantador, José M. Conde:
A Simple E-learning System Based on Classroom Competition. EC-TEL 2010: 488-493 - [c23]David Vallet, Iván Cantador, Joemon M. Jose:
Exploiting external knowledge to improve video retrieval. Multimedia Information Retrieval 2010: 101-110 - [c22]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A study of heterogeneity in recommendations for a social music service. HetRec@RecSys 2010: 1-8 - [c21]Iván Cantador, Alejandro Bellogín, David Vallet:
Content-based recommendation in social tagging systems. RecSys 2010: 237-240 - [c20]Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer:
Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010). RecSys 2010: 375-376 - [p3]Alejandro Bellogín, Iván Cantador, Pablo Castells, Alvaro Ortigosa:
Discerning Relevant Model Features in a Content-based Collaborative Recommender System. Preference Learning 2010: 429-455 - [e2]José Carlos Cortizo, Francisco M. Carrero, Iván Cantador, José Antonio Troyano Jiménez, Paolo Rosso:
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, SMUC@CIKM 2010, Toronto, ON, Canada, October 30, 2010. ACM 2010, ISBN 978-1-4503-0386-6 [contents] - [e1]Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer:
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '10, Barcelona, Spain, September 26, 2010. ACM 2010, ISBN 978-1-4503-0407-8 [contents]
2000 – 2009
- 2009
- [c19]David Vallet, Iván Cantador, Joemon M. Jose:
Exploiting Social Tagging Profiles to Personalize Web Search. FQAS 2009: 629-640 - [c18]Iván Cantador, David Vallet, Joemon M. Jose:
Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation. DC@PKDD/ECML 2009 - [c17]Robert Villa, Iván Cantador, Hideo Joho, Joemon M. Jose:
An aspectual interface for supporting complex search tasks. SIGIR 2009: 379-386 - 2008
- [j1]Iván Cantador, Alejandro Bellogín, Pablo Castells:
A multilayer ontology-based hybrid recommendation model. AI Commun. 21(2-3): 203-210 (2008) - [c16]Iván Cantador, Alejandro Bellogín, Pablo Castells:
News@hand: A Semantic Web Approach to Recommending News. AH 2008: 279-283 - [c15]Martin Szomszor, Iván Cantador, Harith Alani:
Correlating user profiles from multiple folksonomies. Hypertext 2008: 33-42 - [c14]Martin Szomszor, Harith Alani, Iván Cantador, Kieron O'Hara, Nigel Shadbolt:
Semantic Modelling of User Interests Based on Cross-Folksonomy Analysis. ISWC 2008: 632-648 - [c13]Iván Cantador, Alejandro Bellogín, Pablo Castells:
Ontology-Based Personalised and Context-Aware Recommendations of News Items. Web Intelligence 2008: 562-565 - [p2]Iván Cantador, Miriam Fernández, David Vallet, Pablo Castells, Jérôme Picault, Myriam Ribière:
A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrieval. Advances in Semantic Media Adaptation and Personalization 2008: 25-51 - 2007
- [c12]Iván Cantador, Miriam Fernández, Pablo Castells:
Improving Ontology Recommendation and Reuse in WebCORE by Collaborative Assessments. CKC 2007 - [c11]Iván Cantador, Miriam Fernández, Pablo Castells:
Improving Ontology Recommendation and Reuse in WebCORE by Collaborative Assessments. CKC 2007 - [p1]Rubén Lara, Iván Cantador, Pablo Castells:
Semantic Web Technologies For The Financial Domain. The Semantic Web: Real-World Applications from Industry 2007: 41-74 - [i1]Manuel Cebrián, Iván Cantador:
Exploiting Heavy Tails in Training Times of Multilayer Perceptrons. A Case Study with the UCI Thyroid Disease Database. CoRR abs/0704.2725 (2007) - 2006
- [c10]Iván Cantador, Pablo Castells:
Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering. EKAW 2006: 334-349 - [c9]Rubén Lara, Iván Cantador, Pablo Castells:
XBRL Taxonomies and OWL Ontologies for Investment Funds. ER (Workshops) 2006: 271-280 - [c8]David Vallet, Iván Cantador, Miriam Fernández, Pablo Castells:
A Multi-Purpose Ontology-Based Approach for Personalized Content Filtering and Retrieval. SMAP 2006: 19-24 - [c7]Thomas Riechert, Ernesto Jiménez-Ruiz, Iván Cantador, Michael Engler, Danius T. Michaelides, Manfred Bortenschlager, Robert Tolksdorf:
Working Group Report on Semantic Technologies in Collaborative Applications. WETICE 2006: 347-351 - [c6]Iván Cantador, Pablo Castells, David Vallet:
Enriching Group Profiles with Ontologies for Knowledge-Driven Colalborative Content Retrieval. WETICE 2006: 358-363 - [c5]Miriam Fernández, Iván Cantador, Pablo Castells:
CORE: A Tool for Collaborative Ontology Reuse and Evaluation. EON@WWW 2006 - 2005
- [c4]Iván Cantador, José R. Dorronsoro:
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning. IbPRIA (2) 2005: 43-50 - [c3]Ana M. González, Iván Cantador, José R. Dorronsoro:
Discriminant Parallel Perceptrons. ICANN (2) 2005: 13-18 - [c2]Iván Cantador, José R. Dorronsoro:
Balanced Boosting with Parallel Perceptrons. IWANN 2005: 208-216 - [c1]Iván Cantador, José R. Dorronsoro:
Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems. IWINAC (2) 2005: 586-593
Coauthor Index
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