Name
Affiliation
Papers
IVÁN CANTADOR
Depto. de Ingeniería Informática and Instituto de Ingeniería del Conocimiento, Universidad Autónoma de Madrid, 28049 Madrid, Spain
91
Collaborators
Citations 
PageRank 
111
1109
61.54
Referers 
Referees 
References 
2439
1780
1224
Search Limit
1001000
Title
Citations
PageRank
Year
A flexible and lightweight interactive data mining tool to visualize and analyze digital citizen participation content00.342021
Automating the synthesis of recommender systems for modelling languages00.342021
CIRCLE 2020: the first joint conference of the information retrieval communities in Europe00.342020
Towards automating the construction of recommender systems for low-code development platforms00.342020
Exploiting Open Data to analyze discussion and controversy in online citizen participation00.342020
Aspect-based Active Learning for User Preference Elicitation in Recommender Systems.00.342020
Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers00.342020
UMAP 2019 Workshops & Tutorials Overview and Organization.00.342019
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization80.422019
A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews20.372019
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback.00.342018
What's going on in my city?: recommender systems and electronic participatory budgeting.10.352018
Addressing The Cold Start With Positive-Only Feedback Through Semantic-Based Recommendations00.342017
Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach.00.342017
Statistical biases in Information Retrieval metrics for recommender systems.40.382017
Personalized Recommendations In E-Participation: Offline Experiments For The 'Decide Madrid' Platform30.382017
Recommender Systems For Citizens: The Citrec'17 Workshop Manifesto00.342017
Recommender Systems For E-Governance In Smart Cities: State Of The Art And Research Opportunities20.382017
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback.30.452016
Alleviating the new user problem in collaborative filtering by exploiting personality information.330.942016
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback.80.452016
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems.00.342016
Validating Gamification Mechanics and Player Types in an E-learning Environment.20.422015
On The Use Of Cross-Domain User Preferences And Personality Traits In Collaborative Filtering50.442015
On the Exploitation of User Personality in Recommender Systems.00.342014
Tutorial on cross-domain recommender systems80.442014
Workshop on new trends in content-based recommender systems: (CBRecSys 2014)10.412014
Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering.20.402014
Knowledge-based identification of music suited for places of interest.50.422014
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols1172.912014
Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data.40.452014
A Criterion Based on Fisher's Exact Test for Item Splitting in Context-Aware Recommender Systems00.342014
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach110.552014
Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers10.372014
Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation.220.822014
A Social Tag-Based Dimensional Model Of Emotions: Building Cross-Domain Folksonomies00.342013
Predicting Recommender System Performance from an Information Retrieval Perspective.00.342013
Ontology-Based Identification of Music for Places90.522013
Modeling Emotions with Social Tags.00.342013
Improving memory-based collaborative filtering by neighbour selection based on user preference overlap70.482013
A Contextual Modeling Approach for Model-Based Recommender Systems.20.382013
An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations.10.352013
Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches.100.632013
Exploiting time contexts in collaborative filtering: an item splitting approach00.342013
Time-Aware Evaluation of Methods for Identifying Active Household Members in Recommender Systems.30.392013
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison.00.342013
Relating Personality Types with User Preferences in Multiple Entertainment Domains.00.342013
An empirical comparison of social, collaborative filtering, and hybrid recommenders230.942013
Exploiting semantics on external resources to gather visual examples for video retrieval.20.352013
A comparative study of heterogeneous item recommendations in social systems381.232013
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