Alejandro Bellogín

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Venues

CoRR

RecSys

User Model. User Adapt. Interact.

Inf. Process. Manag.

Publications

Pau Muñoz, Fernando Díez, Alejandro Bellogín
Modeling disinformation networks on Twitter: structure, behavior, and impact. Appl. Netw. Sci. 9 (1) (2024)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
Fairness in recommender systems: research landscape and future directions. User Model. User Adapt. Interact. 34 (1) (2024)
Pau Muñoz, Alejandro Bellogín, Raúl Barba-Rojas, Fernando Díez
Quantifying polarization in online political discourse. EPJ Data Sci. 13 (1) (2024)
Javier Wang, Alejandro Bellogín, Iván Cantador
Integrating sentiment features in factorization machines: Experiments on music recommender systems. UMAP (2024)
Miriam Fernández, Alejandro Bellogín, Iván Cantador
Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation. WebSci (2024)
Marina Alonso-Cortés, Iván Cantador, Alejandro Bellogín
Recommendation Fairness in eParticipation: Listening to Minority, Vulnerable and NIMBY Citizens. ECIR (4) (2024)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. ACM Comput. Surv. 56 (4) (2024)
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). SIGIR (2024)
Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto
Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. 37 (5) (2023)
Nicolás Serrano, Alejandro Bellogín
Siamese neural networks in recommendation. Neural Comput. Appl. 35 (19) (2023)
Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, Alejandro Bellogín
A unifying and general account of fairness measurement in recommender systems. Inf. Process. Manag. 60 (1) (2023)
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms. CoRR (2023)
Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. CoRR (2023)
Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Eugenio Di Sciascio, Tommaso Di Noia
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. RecSys (2023)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
A Survey of Research on Fair Recommender Systems. CoRR (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
An Analysis of Local Explanation with LIME-RS. IIR (2022)
Heitor Werneck, Nícollas Silva, Adriano C. M. Pereira, Matheus Carvalho Viana, Alejandro Bellogín, Jorge Martínez Gil, Fernando Mourão, Leonardo Rocha
A reproducible POI recommendation framework: Works mapping and benchmark evaluation. Inf. Syst. 108 (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. UMAP (2022)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. SEBD (2022)
Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg
ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization. SIGWEB Newsl. 2022 (Autumn) (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. CoRR (2022)
Pablo Sánchez, Alejandro Bellogín
Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective. ACM Comput. Surv. 54 (11s) (2022)
Alejandro Bellogín, Ludovico Boratto, Federica Cena
33rd ACM conference on hypertext and social media. SIGWEB Newsl. 2022 (Autumn) (2022)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. CoRR (2022)
Alejandro Bellogín, Alan Said
Improving Accountability in Recommender Systems Research Through Reproducibility. CoRR (2021)
Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia
Explaining recommender systems fairness and accuracy through the lens of data characteristics. Inf. Process. Manag. 58 (5) (2021)
Alejandro Bellogín, Alan Said
Improving accountability in recommender systems research through reproducibility. User Model. User Adapt. Interact. 31 (5) (2021)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
Adherence and Constancy in LIME-RS Explanations for Recommendation. CoRR (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. IIR (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Tommaso Di Noia
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR (2021)
Alejandro Bellogín, Yashar Deldjoo
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics. CoRR (2021)
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS Conference (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. RecSys (2021)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). KaRS/ComplexRec@RecSys (2021)
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo
Reenvisioning Collaborative Filtering vs Matrix Factorization. CoRR (2021)
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. SIGIR (2021)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. RecSys (2021)
Miriam Fernández, Alejandro Bellogín, Iván Cantador
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation. CoRR (2021)
Pablo Sánchez, Alejandro Bellogín
Point-of-Interest Recommender Systems: A Survey from an Experimental Perspective. CoRR (2021)
Pablo Sánchez, Alejandro Bellogín
On the effects of aggregation strategies for different groups of users in venue recommendation. Inf. Process. Manag. 58 (5) (2021)
Sergio Torrijos, Alejandro Bellogín, Pablo Sánchez
Discovering Related Users in Location-based Social Networks. UMAP (2020)
Pablo Sánchez, Alejandro Bellogín
Applying reranking strategies to route recommendation using sequence-aware evaluation. User Model. User Adapt. Interact. 30 (4) (2020)
Sergio Torrijos, Alejandro Bellogín
Analysis of Co-movement Pattern Mining Methods for Recommendation. CIRCLE (2020)
Rus M. Mesas, Alejandro Bellogín
Exploiting recommendation confidence in decision-aware recommender systems. J. Intell. Inf. Syst. 54 (1) (2020)
Pablo Sánchez, Alejandro Bellogín
Time and sequence awareness in similarity metrics for recommendation. Inf. Process. Manag. 57 (3) (2020)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23 (4) (2020)
María Hernández-Rubio, Alejandro Bellogín, Iván Cantador
Aspect-based Active Learning for User Preference Elicitation in Recommender Systems. CIRCLE (2020)
Fernando Díez, Alejandro Bellogín, Jesús Serrano
Similitud Topológica de Usuarios: Aplicación a Los Sistemas de Recomendación. CIRCLE (2020)
Miriam Fernández, Alejandro Bellogín
Recommender Systems and Misinformation: The Problem or the Solution? OHARS@RecSys (2020)
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. CoRR (2020)
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) (2019)
Pablo Sánchez, Alejandro Bellogín
Building user profiles based on sequences for content and collaborative filtering. Inf. Process. Manag. 56 (1) (2019)
Pablo Sánchez, Alejandro Bellogín
Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. RecSys (2019)
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR (2019)
Iván García, Alejandro Bellogín
Towards an open, collaborative REST API for recommender systems. RecSys (2018)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys (2018)
Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback. CAEPIA (2018)
Pablo Sánchez, Alejandro Bellogín
A novel approach for venue recommendation using cross-domain techniques. CoRR (2018)
Pablo Sánchez, Alejandro Bellogín
Time-Aware Novelty Metrics for Recommender Systems. ECIR (2018)
Alejandro Bellogín, Pablo Sánchez
Applying Subsequence Matching to Collaborative Filtering: Extended Abstract. CERI (2018)
Pablo Sánchez, Alejandro Bellogín
Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. RecSys (2018)
Pablo Sánchez, Rus M. Mesas, Alejandro Bellogín
New approaches for evaluation: correctness and freshness: Extended Abstract. CERI (2018)
Alan Said, Alejandro Bellogín
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems. User Model. User Adapt. Interact. 28 (2) (2018)
Pablo Sánchez, Alejandro Bellogín
Challenges on Evaluating Venue Recommendation Approaches: Position Paper. RecTour@RecSys (2018)
Rus M. Mesas, Alejandro Bellogín
Evaluating Decision-Aware Recommender Systems. RecSys (2017)
Alejandro Bellogín, Pablo Sánchez
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. RecTemp@RecSys (2017)
Alejandro Bellogín, Pablo Sánchez
Collaborative filtering based on subsequence matching: A new approach. Inf. Sci. 418 (2017)
Alejandro Bellogín, Pablo Castells, Iván Cantador
Statistical biases in Information Retrieval metrics for recommender systems. Inf. Retr. J. 20 (6) (2017)
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)
Pablo Sánchez, Alejandro Bellogín, Iván Cantador
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. CERI (2016)
Simon Dooms, Alejandro Bellogín, Toon De Pessemier, Luc Martens
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset. ACM Trans. Intell. Syst. Technol. 7 (3) (2016)
Thaer Samar, Alejandro Bellogín, Arjen P. de Vries
The strange case of reproducibility versus representativeness in contextual suggestion test collections. Inf. Retr. J. 19 (3) (2016)
Alan Said, Alejandro Bellogín
Non-transparent recommender system evaluation leads to misleading results. Tiny Trans. Comput. Sci. 3 (2015)
Alejandro Bellogín, Alan Said
The Not-so-Magic Magic Barrier of Recommender Systems. Tiny Trans. Comput. Sci. 3 (2015)
Alan Said, Alejandro Bellogín
Replicable Evaluation of Recommender Systems. RecSys (2015)
Thaer Samar, Alejandro Bellogín, Arjen P. de Vries
Improving Contextual Suggestions using Open Web Domain Knowledge. SPS@SIGIR (2015)
Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck
REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys (2014)
Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk
Report on the workshop on reproducibility and replication in recommender systems evaluation (RepSys). SIGIR Forum 48 (1) (2014)
Alejandro Bellogín, Pablo Castells, Iván Cantador
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach. ACM Trans. Web 8 (2) (2014)
Soude Fazeli, Babak Loni, Alejandro Bellogín, Hendrik Drachsler, Peter B. Sloep
Implicit vs. explicit trust in social matrix factorization. RecSys (2014)
Alejandro Bellogín, Alan Said, Arjen P. de Vries
The Magic Barrier of Recommender Systems - No Magic, Just Ratings. UMAP (2014)
Thaer Samar, Arjen P. de Vries, Alejandro Bellogín
Better Contextual Suggestions in ClueWeb12 Using Domain Knowledge Inferred from The Open Web. TREC (2014)
Katja Hofmann, Anne Schuth, Alejandro Bellogín, Maarten de Rijke
Effects of Position Bias on Click-Based Recommender Evaluation. ECIR (2014)
Alan Said, Alejandro Bellogín
Rival: a toolkit to foster reproducibility in recommender system evaluation. RecSys (2014)
Alan Said, Alejandro Bellogín
RiVal: A New Benchmarking Toolkit for Recommender Systems. ERCIM News 2014 (99) (2014)
Alan Said, Alejandro Bellogín
Comparative recommender system evaluation: benchmarking recommendation frameworks. RecSys (2014)
Alan Said, Alejandro Bellogín
You are What You Eat! Tracking Health Through Recipe Interactions. RSWeb@RecSys (2014)
Alejandro Bellogín, Thaer Samar, Arjen P. de Vries, Alan Said
Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track. ECIR (2014)
Alan Said, Alejandro Bellogín, Jimmy Lin, Arjen P. de Vries
Do recommendations matter?: news recommendation in real life. CSCW Companion (2014)
Alejandro Bellogín, Pablo Castells, Iván Cantador
Predicting Recommender System Performance from an Information Retrieval Perspective. Tiny Trans. Comput. Sci. 2 (2013)
Alan Said, Jimmy Lin, Alejandro Bellogín, Arjen P. de Vries
A month in the life of a production news recommender system. LivingLab@CIKM (2013)
Alejandro Bellogín, Iván Cantador, Pablo Castells
A comparative study of heterogeneous item recommendations in social systems. Inf. Sci. 221 (2013)
Pedro G. Campos, Alejandro Bellogín, Iván Cantador, Fernando Díez
Time-Aware Evaluation of Methods for Identifying Active Household Members in Recommender Systems. CAEPIA (2013)
Miguel Martinez-Alvarez, Alejandro Bellogín, Thomas Roelleke
Document Difficulty Framework for Semi-automatic Text Classification. DaWaK (2013)
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) (2013)
Alejandro Bellogín, Jun Wang, Pablo Castells
Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. 16 (6) (2013)
Alejandro Bellogín, Gebrekirstos G. Gebremeskel, Jiyin He, Alan Said, Thaer Samar, Arjen P. de Vries, Jimmy Lin, Jeroen B. P. Vuurens
CWI and TU Delft Notebook TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks. TREC (2013)
Alejandro Bellogín, Iván Cantador, Pablo Castells, Fernando Díez
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. DIR (2013)
Alejandro Bellogín, Arjen P. de Vries
Understanding Similarity Metrics in Neighbour-based Recommender Systems. ICTIR (2013)

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Publication Activity (10 Years)

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Alejandro Bellogín