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Alejandro Bellogín
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Publications
- 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 - [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 - 2021
- [i12]Miriam Fernández, Alejandro Bellogín, Iván Cantador:
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation. CoRR abs/2103.14748 (2021) - 2020
- [c59]María Hernández-Rubio, Alejandro Bellogín, Iván Cantador:
Aspect-based Active Learning for User Preference Elicitation in Recommender Systems. CIRCLE 2020 - 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) - 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 - 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) - [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 - 2016
- [c42]Pablo Sánchez, Alejandro Bellogín, Iván Cantador:
Studying the Effect of Data Structures on the Efficiency of Collaborative Filtering Systems. CERI 2016: 8 - 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) - 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 - [c26]Alejandro Bellogín, Iván Cantador, Pablo Castells, Fernando Díez:
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. DIR 2013: 40-41 - [c21]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Improving memory-based collaborative filtering by neighbour selection based on user preference overlap. OAIR 2013: 145-148 - [c19]Iván Cantador, Ignacio Fernández-Tobías, Alejandro Bellogín:
Relating Personality Types with User Preferences in Multiple Entertainment Domains. UMAP Workshops 2013 - [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 - 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) - [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 - [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 - 2010
- [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 - 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
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last updated on 2024-07-20 20:34 CEST by the dblp team
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