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ORCIDIgnacio Fernández-Tobías
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2020 – today
- 2022
[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
2010 – 2019
- 2019
- [j5]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) - 2018
- [c23]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
- [j4]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) - 2016
- [j3]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) - [c22]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 - [c21]Ignacio Fernández-Tobías, Roi Blanco:
Memory-based Recommendations of Entities for Web Search Users. CIKM 2016: 35-44 - [c20]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
- [c19]Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo:
Using Tags and Latent Factors in a Food Recommender System. Digital Health 2015: 105-112 - [c18]Matthias Braunhofer, Ignacio Fernández-Tobías, Francesco Ricci:
Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems. IntRS@RecSys 2015: 2-8 - [c17]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo:
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys 2015: 49-52 - [c16]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
- [j2]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) - [c15]Iván Cantador, Ignacio Fernández-Tobías:
On the Exploitation of User Personality in Recommender Systems. DMRS 2014: 42-45 - [c14]Ignacio Fernández-Tobías, Iván Cantador:
Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data. EC-Web 2014: 125-137 - [c13]Ignacio Fernández-Tobías, Iván Cantador:
Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering. CBRecSys@RecSys 2014: 34-41 - [c12]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 - 2013
- [j1]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) - [c11]Ignacio Fernández-Tobías, Pedro G. Campos, Iván Cantador, Fernando Díez:
A Contextual Modeling Approach for Model-Based Recommender Systems. CAEPIA 2013: 42-51 - [c10]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 - [c9]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 - [c8]Marius Kaminskas, Ignacio Fernández-Tobías, Iván Cantador, Francesco Ricci:
Ontology-Based Identification of Music for Places. ENTER 2013: 436-447 - [c7]Iván Cantador, Ignacio Fernández-Tobías, Alejandro Bellogín:
Relating Personality Types with User Preferences in Multiple Entertainment Domains. UMAP Workshops 2013 - [c6]Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza:
Modeling Emotions with Social Tags. UMAP 2013: 331-334 - [c5]Ignacio Fernández-Tobías:
Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation. UMAP 2013: 371-375 - 2012
- [c4]Marius Kaminskas, Ignacio Fernández-Tobías, Francesco Ricci, Iván Cantador:
Knowledge-based music retrieval for places of interest. MIRUM 2012: 19-24 - 2011
- [c3]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 - [c2]Ignacio Fernández-Tobías, Iván Cantador, Marius Kaminskas, Francesco Ricci:
A generic semantic-based framework for cross-domain recommendation. HetRec@RecSys 2011: 25-32 - [c1]Ignacio Fernández-Tobías, Iván Cantador, Alejandro Bellogín:
Semantic Disambiguation and Contextualisation of Social Tags. UMAP Workshops 2011: 181-197
Coauthor Index
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