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ORCIDAlejandro Bellogín
Alejandro Bellogín Kouki
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- affiliation: Autonomous University of Madrid, Spain
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2020 – today
- 2025
[j36]Pablo Mateos, Alejandro Bellogín:
A systematic literature review of recent advances on context-aware recommender systems. Artif. Intell. Rev. 58(1): 20 (2025)- [e4]Alejandro Bellogín
, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers. Communications in Computer and Information Science 2227, Springer 2025, ISBN 978-3-031-71974-5 [contents] - 2024
- [j35]Pau Muñoz, Fernando Díez, Alejandro Bellogín:
Modeling disinformation networks on Twitter: structure, behavior, and impact. Appl. Netw. Sci. 9(1): 4 (2024) - [j34]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): 87:1-87:37 (2024) - [j33]Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto:
Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. 38(6): 4233 (2024) - [j32]Pau Muñoz, Alejandro Bellogín, Raúl Barba-Rojas, Fernando Díez:
Quantifying polarization in online political discourse. EPJ Data Sci. 13(1): 39 (2024) - [j31]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): 59-108 (2024) - [c74]Marina Alonso-Cortés, Iván Cantador, Alejandro Bellogín:
Recommendation Fairness in eParticipation: Listening to Minority, Vulnerable and NIMBY Citizens. ECIR (4) 2024: 420-436 - [c73]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: 3033-3035 - [c72]Javier Wang, Alejandro Bellogín, Iván Cantador:
Integrating sentiment features in factorization machines: Experiments on music recommender systems. UMAP 2024: 183-188 - [c71]Miriam Fernández, Alejandro Bellogín, Iván Cantador:
Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation. WebSci 2024: 159-169 - 2023
- [j30]Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto:
Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. 37(5): 1885-1929 (2023) - [j29]Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, Alejandro Bellogín:
A unifying and general account of fairness measurement in recommender systems. Inf. Process. Manag. 60(1): 103115 (2023) - [j28]Nicolás Serrano, Alejandro Bellogín:
Siamese neural networks in recommendation. Neural Comput. Appl. 35(19): 13941-13953 (2023) - [c70]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: 350-361 - [i19]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 abs/2308.00404 (2023) - [i18]Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín:
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms. CoRR abs/2311.07229 (2023) - 2022
- [j27]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): 223:1-223:37 (2022) - [j26]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: 102019 (2022) - [j25]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): 1:1-1:5 (2022) - [j24]Alejandro Bellogín, Ludovico Boratto, Federica Cena:
33rd ACM conference on hypertext and social media. SIGWEB Newsl. 2022(Autumn): 2:1-2:7 (2022) - [c69]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 - [c68]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: 514-521 - [c67]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: 121-131 - [e3]Alejandro Bellogín, Ludovico Boratto, Federica Cena:
HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022. ACM 2022, ISBN 978-1-4503-9233-4 [contents] - [e2]Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg:
UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4 - 7, 2022. ACM 2022, ISBN 978-1-4503-9207-5 [contents] - [i17]Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. CoRR abs/2202.02757 (2022) - [i16]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 abs/2203.01155 (2022) - [i15]Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli:
A Survey of Research on Fair Recommender Systems. CoRR abs/2205.11127 (2022) - 2021
- [j23]Pablo Sánchez, Alejandro Bellogín:
On the effects of aggregation strategies for different groups of users in venue recommendation. Inf. Process. Manag. 58(5): 102609 (2021) - [j22]Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia:
Explaining recommender systems fairness and accuracy through the lens of data characteristics. Inf. Process. Manag. 58(5): 102662 (2021) - [j21]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): 457-511 (2021) - [j20]Alejandro Bellogín, Alan Said:
Improving accountability in recommender systems research through reproducibility. User Model. User Adapt. Interact. 31(5): 941-977 (2021) - [c66]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS 2021 - [c65]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 - [c64]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: 768-771 - [c63]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 - [c62]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. RecSys 2021: 521-529 - [c61]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: 2405-2414 - [i14]Alejandro Bellogín, Alan Said:
Improving Accountability in Recommender Systems Research Through Reproducibility. CoRR abs/2102.00482 (2021) - [i13]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 abs/2103.02590 (2021) - [i12]Miriam Fernández, Alejandro Bellogín, Iván Cantador:
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation. CoRR abs/2103.14748 (2021) - [i11]Pablo Sánchez, Alejandro Bellogín:
Point-of-Interest Recommender Systems: A Survey from an Experimental Perspective. CoRR abs/2106.10069 (2021) - [i10]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning Collaborative Filtering vs Matrix Factorization. CoRR abs/2107.13472 (2021) - [i9]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 abs/2109.00818 (2021) - [i8]Alejandro Bellogín, Yashar Deldjoo:
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics. CoRR abs/2110.04037 (2021) - 2020
- [j19]Pablo Sánchez, Alejandro Bellogín:
Time and sequence awareness in similarity metrics for recommendation. Inf. Process. Manag. 57(3): 102228 (2020) - [j18]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23(4): 411-448 (2020) - [j17]Rus M. Mesas, Alejandro Bellogín:
Exploiting recommendation confidence in decision-aware recommender systems. J. Intell. Inf. Syst. 54(1): 45-78 (2020) - [j16]Pablo Sánchez, Alejandro Bellogín:
Applying reranking strategies to route recommendation using sequence-aware evaluation. User Model. User Adapt. Interact. 30(4): 659-725 (2020) - [c60]Fernando Díez, Alejandro Bellogín, Jesús Serrano:
Similitud Topológica de Usuarios: Aplicación a Los Sistemas de Recomendación. CIRCLE 2020 - [c59]María Hernández-Rubio, Alejandro Bellogín, Iván Cantador:
Aspect-based Active Learning for User Preference Elicitation in Recommender Systems. CIRCLE 2020 - [c58]Sergio Torrijos, Alejandro Bellogín:
Analysis of Co-movement Pattern Mining Methods for Recommendation. CIRCLE 2020 - [c57]Miriam Fernández, Alejandro Bellogín:
Recommender Systems and Misinformation: The Problem or the Solution? OHARS@RecSys 2020: 40-50 - [c56]Sergio Torrijos, Alejandro Bellogín, Pablo Sánchez:
Discovering Related Users in Location-based Social Networks. UMAP 2020: 353-357 - [i7]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. CoRR abs/2010.01329 (2020)
2010 – 2019
- 2019
- [j15]Pablo Sánchez, Alejandro Bellogín:
Building user profiles based on sequences for content and collaborative filtering. Inf. Process. Manag. 56(1): 192-211 (2019) - [j14]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) - [c55]Pablo Sánchez, Alejandro Bellogín:
Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. RecSys 2019: 378-382 - [c54]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys 2019 - [p3]Alejandro Bellogín, Alan Said:
Information Retrieval and Recommender Systems. Data Science in Practice 2019: 79-96 - [i6]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR abs/1908.06708 (2019) - 2018
- [j13]Alan Said, Alejandro Bellogín:
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems. User Model. User Adapt. Interact. 28(2): 97-125 (2018) - [c53]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 - [c52]Alejandro Bellogín, Pablo Sánchez:
Applying Subsequence Matching to Collaborative Filtering: Extended Abstract. CERI 2018: 5:1-5:2 - [c51]Pablo Sánchez, Rus M. Mesas, Alejandro Bellogín:
New approaches for evaluation: correctness and freshness: Extended Abstract. CERI 2018: 14:1-14:2 - [c50]Pablo Sánchez, Alejandro Bellogín:
Time-Aware Novelty Metrics for Recommender Systems. ECIR 2018: 357-370 - [c49]Pablo Sánchez, Alejandro Bellogín:
Challenges on Evaluating Venue Recommendation Approaches: Position Paper. RecTour@RecSys 2018: 37-40 - [c48]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys 2018: 260-268 - [c47]Pablo Sánchez, Alejandro Bellogín:
Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. RecSys 2018: 367-371 - [c46]Iván García, Alejandro Bellogín:
Towards an open, collaborative REST API for recommender systems. RecSys 2018: 504-505 - [p2]Alejandro Bellogín, Alan Said:
Offline and Online Evaluation of Recommendations. Collaborative Recommendations 2018: 295-328 - [r1]Alejandro Bellogín, Alan Said:
Recommender Systems Evaluation. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i5]Pablo Sánchez, Alejandro Bellogín:
A novel approach for venue recommendation using cross-domain techniques. CoRR abs/1809.09864 (2018) - 2017
- [j12]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Statistical biases in Information Retrieval metrics for recommender systems. Inf. Retr. J. 20(6): 606-634 (2017) - [j11]Alejandro Bellogín, Pablo Sánchez:
Collaborative filtering based on subsequence matching: A new approach. Inf. Sci. 418: 432-446 (2017) - [c45]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 - [c44]Alejandro Bellogín, Pablo Sánchez:
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. RecTemp@RecSys 2017: 40-44 - [c43]Rus M. Mesas, Alejandro Bellogín:
Evaluating Decision-Aware Recommender Systems. RecSys 2017: 74-78 - 2016
- [j10]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): 230-255 (2016) - [j9]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): 41:1-41:28 (2016) - [c42]Pablo Sánchez, Alejandro Bellogín, Iván Cantador:
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. CERI 2016: 8 - 2015
- [c41]Alan Said, Alejandro Bellogín:
Replicable Evaluation of Recommender Systems. RecSys 2015: 363-364 - [c40]Thaer Samar, Alejandro Bellogín, Arjen P. de Vries:
Improving Contextual Suggestions using Open Web Domain Knowledge. SPS@SIGIR 2015: 3-9 - [i4]Alejandro Bellogín, Alan Said:
The Not-so-Magic Magic Barrier of Recommender Systems. Tiny Trans. Comput. Sci. 3 (2015) - [i3]Alan Said, Alejandro Bellogín:
Non-transparent recommender system evaluation leads to misleading results. Tiny Trans. Comput. Sci. 3 (2015) - 2014
- [j8]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): 29-35 (2014) - [j7]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) - [c39]Alan Said, Alejandro Bellogín, Jimmy Lin, Arjen P. de Vries:
Do recommendations matter?: news recommendation in real life. CSCW Companion 2014: 237-240 - [c38]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: 430-436 - [c37]Katja Hofmann, Anne Schuth, Alejandro Bellogín, Maarten de Rijke:
Effects of Position Bias on Click-Based Recommender Evaluation. ECIR 2014: 624-630 - [c36]Alan Said, Alejandro Bellogín:
Comparative recommender system evaluation: benchmarking recommendation frameworks. RecSys 2014: 129-136 - [c35]Soude Fazeli, Babak Loni, Alejandro Bellogín, Hendrik Drachsler, Peter B. Sloep:
Implicit vs. explicit trust in social matrix factorization. RecSys 2014: 317-320 - [c34]Alan Said, Alejandro Bellogín:
Rival: a toolkit to foster reproducibility in recommender system evaluation. RecSys 2014: 371-372 - [c33]Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck:
REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys 2014: 393-394 - [c32]Alan Said, Alejandro Bellogín:
You are What You Eat! Tracking Health Through Recipe Interactions. RSWeb@RecSys 2014 - [c31]Thaer Samar, Arjen P. de Vries, Alejandro Bellogín:
Better Contextual Suggestions in ClueWeb12 Using Domain Knowledge Inferred from The Open Web. TREC 2014 - [c30]Alejandro Bellogín, Alan Said, Arjen P. de Vries:
The Magic Barrier of Recommender Systems - No Magic, Just Ratings. UMAP 2014: 25-36 - [i2]Alan Said, Alejandro Bellogín:
RiVal: A New Benchmarking Toolkit for Recommender Systems. ERCIM News 2014(99) (2014) - 2013
- [j6]Javier Parapar, Alejandro Bellogín, Pablo Castells, Alvaro Barreiro:
Relevance-based language modelling for recommender systems. Inf. Process. Manag. 49(4): 966-980 (2013) - [j5]Alejandro Bellogín, Jun Wang, Pablo Castells:
Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. 16(6): 697-724 (2013) - [j4]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A comparative study of heterogeneous item recommendations in social systems. Inf. Sci. 221: 142-169 (2013) - [j3]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) - [c29]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 - [c28]Alan Said, Jimmy Lin, Alejandro Bellogín, Arjen P. de Vries:
A month in the life of a production news recommender system. LivingLab@CIKM 2013: 7-10 - [c27]Miguel Martinez-Alvarez, Alejandro Bellogín, Thomas Roelleke:
Document Difficulty Framework for Semi-automatic Text Classification. DaWaK 2013: 110-121 - [c26]Alejandro Bellogín, Iván Cantador, Pablo Castells, Fernando Díez:
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. DIR 2013: 40-41 - [c25]Alejandro Bellogín, Arjen P. de Vries:
Understanding Similarity Metrics in Neighbour-based Recommender Systems. ICTIR 2013: 13 - [c24]Alejandro Bellogín, Arjen P. de Vries, Jiyin He:
Artist Popularity: Do Web and Social Music Services Agree? ICWSM 2013 - [c23]Alejandro Bellogín, Javier Parapar, Pablo Castells:
Probabilistic collaborative filtering with negative cross entropy. RecSys 2013: 387-390 - [c22]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Workshop on reproducibility and replication in recommender systems evaluation: RepSys. RecSys 2013: 485-486 - [c21]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Improving memory-based collaborative filtering by neighbour selection based on user preference overlap. OAIR 2013: 145-148 - [c20]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 - [c19]Iván Cantador, Ignacio Fernández-Tobías, Alejandro Bellogín:
Relating Personality Types with User Preferences in Multiple Entertainment Domains. UMAP Workshops 2013 - [c18]Alan Said, Alejandro Bellogín, Arjen P. de Vries, Benjamin Kille:
Information Retrieval and User-Centric Recommender System Evaluation. UMAP Workshops 2013 - [e1]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys 2013, Hong Kong, China, October 12, 2013. ACM 2013, ISBN 978-1-4503-2465-6 [contents] - [i1]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting Recommender System Performance from an Information Retrieval Perspective. Tiny Trans. Comput. Sci. 2 (2013) - 2012
- [c17]Pedro G. Campos, Alejandro Bellogín, Fernando Díez, Iván Cantador:
Time feature selection for identifying active household members. CIKM 2012: 2311-2314 - [c16]Alejandro Bellogín, Javier Parapar:
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. RecSys 2012: 213-216 - 2011
- [j2]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) - [c15]Alejandro Bellogín, Jun Wang, Pablo Castells:
Structured collaborative filtering. CIKM 2011: 2257-2260 - [c14]Alejandro Bellogín, Jun Wang, Pablo Castells:
Text Retrieval Methods for Item Ranking in Collaborative Filtering. ECIR 2011: 301-306 - [c13]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 - [c12]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting the Performance of Recommender Systems: An Information Theoretic Approach. ICTIR 2011: 27-39 - [c11]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Precision-oriented evaluation of recommender systems: an algorithmic comparison. RecSys 2011: 333-336 - [c10]Alejandro Bellogín:
Predicting performance in recommender systems. RecSys 2011: 371-374 - [c9]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Self-adjusting hybrid recommenders based on social network analysis. SIGIR 2011: 1147-1148 - [c8]Ignacio Fernández-Tobías, Iván Cantador, Alejandro Bellogín:
Semantic Disambiguation and Contextualisation of Social Tags. UMAP Workshops 2011: 181-197 - [c7]Alejandro Bellogín:
Performance Prediction in Recommender Systems. UMAP 2011: 401-404 - 2010
- [c6]Alejandro Bellogín, Pablo Castells:
A Performance Prediction Approach to Enhance Collaborative Filtering Performance. ECIR 2010: 382-393 - [c5]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A study of heterogeneity in recommendations for a social music service. HetRec@RecSys 2010: 1-8 - [c4]Iván Cantador, Alejandro Bellogín, David Vallet:
Content-based recommendation in social tagging systems. RecSys 2010: 237-240 - [p1]Alejandro Bellogín, Iván Cantador, Pablo Castells, Alvaro Ortigosa:
Discerning Relevant Model Features in a Content-based Collaborative Recommender System. Preference Learning 2010: 429-455
2000 – 2009
- 2009
- [c3]Alejandro Bellogín, Pablo Castells:
Predicting Neighbor Goodness in Collaborative Filtering. FQAS 2009: 605-616 - 2008
- [j1]Iván Cantador, Alejandro Bellogín, Pablo Castells:
A multilayer ontology-based hybrid recommendation model. AI Commun. 21(2-3): 203-210 (2008) - [c2]Iván Cantador, Alejandro Bellogín, Pablo Castells:
News@hand: A Semantic Web Approach to Recommending News. AH 2008: 279-283 - [c1]Iván Cantador, Alejandro Bellogín, Pablo Castells:
Ontology-Based Personalised and Context-Aware Recommendations of News Items. Web Intelligence 2008: 562-565
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
