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David Contreras

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2020 – today

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2024
[c17]
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Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó:
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. ECIR (1) 2024: 21-38
[c16]
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Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó:
AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders. RecSys 2024: 137-147
[c15]
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Elizabeth Gómez, David Contreras, Maria Salamó, Ludovico Boratto:
Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. UMAP 2024: 18-23
[i2]
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Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó:
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels. CoRR abs/2401.12593 (2024)
2022
[c14]
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Carlos Rojas, David Contreras, Maria Salamó:
Analysis of Biases in Calibrated Recommendations. BIAS 2022: 91-103
2021
[j14]
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David Contreras, Maria Salamó, Ludovico Boratto:
Integrating Collaboration and Leadership in Conversational Group Recommender Systems. ACM Trans. Inf. Syst. 39(4): 41:1-41:32 (2021)
2020
[j13]
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David Contreras, Maria Salamó:
A Cognitively Inspired Clustering Approach for Critique-Based Recommenders. Cogn. Comput. 12(2): 428-441 (2020)
[j12]
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Marc Güell, Maria Salamó, David Contreras, Ludovico Boratto:
Integrating a cognitive assistant within a critique-based recommender system. Cogn. Syst. Res. 64: 1-14 (2020)
[j11]
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David Contreras, Maria Salamó:
Data-driven decision making in critique-based recommenders: from a critique to social media data. J. Intell. Inf. Syst. 54(1): 23-44 (2020)

2010 – 2019

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2019
[c13]
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David Contreras, Maria Salamó:
History and Opinion Collaborative Recommender: An Approach for Social Recommendations. CCIA 2019: 285-294
2018
[j10]
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David Contreras, Maria Salamó, Inmaculada Rodríguez, Anna Puig:
Shopping Decisions Made in a Virtual World: Defining a State-Based Model of Collaborative and Conversational User-Recommender Interactions. IEEE Consumer Electron. Mag. 7(4): 26-35 (2018)
[j9]
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Daniel Horowitz, David Contreras, Maria Salamó:
EventAware: A mobile recommender system for events. Pattern Recognit. Lett. 105: 121-134 (2018)
2017
[b1]
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David Contreras:
Integración de técnicas de personalización basadas en el comportamiento colaborativo del ser humano con interfaces de usuario inteligentes. University of Barcelona, Spain, 2017
[j8]
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David Contreras, Mario Castro, David Sánchez de la Torre:
Performance evaluation of bluetooth low energy in indoor positioning systems. Trans. Emerg. Telecommun. Technol. 28(1) (2017)
2016
[j7]
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Israel Alonso, David Contreras:
Evaluation of semantic similarity metrics applied to the automatic retrieval of medical documents: An UMLS approach. Expert Syst. Appl. 44: 386-399 (2016)
[c12]
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Daniel Horowitz, David Contreras, Maria Salamó:
EventAware: A Context-Aware Tag-Based Mobile Recommender System for Events. CCIA 2016: 273-282
2015
[j6]
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David Contreras, Maria Salamó, Jordi Pascual:
A Web-Based Environment to Support Online and Collaborative Group Recommendation Scenarios. Appl. Artif. Intell. 29(5): 480-499 (2015)
[j5]
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David Contreras, Mario Castro:
Experimental assessment of the adequacy of Bluetooth for opportunistic networks. Ad Hoc Networks 25: 444-453 (2015)
[j4]
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David Contreras, Maria Salamó, Inmaculada Rodríguez, Anna Puig:
A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction. Int. J. Interact. Multim. Artif. Intell. 3(3): 7-15 (2015)
[c11]
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David Contreras, Maria Salamó:
On the Use of User-generated Content in Critiquing Recommendation. CCIA 2015: 195-204
[c10]
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David Contreras, Maria Salamó, Inmaculada Rodríguez, Anna Puig, Alejandra Yañez:
Supporting Users Experience in a 3D eCommerce Environment. Interacción 2015: 45:1-45:4
[c9]
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Juan Manuel Barrios, Jose M. Saavedra, Felipe Ramírez, David Contreras:
ORAND at TRECVID 2015: Instance Search and Video Hyperlinking Tasks. TRECVID 2015
2014
[c8]
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Jordi Pascual, David Contreras, Maria Salamó:
Analysis of a collaborative advisory channel for group recommendation. CCIA 2014: 116-125
[c7]
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Markus Diem, Stefan Fiel, Florian Kleber, Robert Sablatnig, Jose M. Saavedra, David Contreras, Juan Manuel Barrios, Luiz S. Oliveira:
ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014). ICFHR 2014: 779-784
[c6]
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David Contreras, Maria Salamó, Inmaculada Rodríguez, Anna Puig:
An approach to improve user experience with conversational recommenders through a 3D virtual environment. Interacción 2014: 66:1-66:4
[c5]
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Juan Manuel Barrios, Jose M. Saavedra, Felipe Ramírez, David Contreras:
ORAND at TRECVID 2014: Instance Search and Multimedia Event Detection. TRECVID 2014
2013
[c4]
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Maria Salamó, Anna Puig, David Contreras:
An Approach to Couple Two Forms of Feedback in Conversational Recommenders. CCIA 2013: 273-282
[c3]
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Juan Manuel Barrios, Jose M. Saavedra, Felipe Ramírez, David Contreras:
ORAND Team: Instance Search and Multimedia Event Detection Using k-NN Searches. TRECVID 2013
[i1]
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David Contreras, Nancy Hitschfeld-Kahler:
Study on Delaunay tessellations of 1-irregular cuboids for 3D mixed element meshes. CoRR abs/1312.1181 (2013)
2012
[p1]
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Miguel Angel Sanz-Bobi, David Contreras, Álvaro Sánchez Miralles:
Multi-Agent Systems Orientated to Assist with Daily Activities in the Homes of Elderly and Disabled People. Human-Computer Interaction: The Agency Perspective 2012: 131-167
2011
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Jaime Sánchez, Álvaro Salinas, David Contreras, Eduardo Meyer:
Does the New Digital Generation of Learners Exist? A Qualitative Study. Br. J. Educ. Technol. 42(4): 543-556 (2011)
[j2]
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David Contreras, Mario Castro:
Impact of polling on bluetooth piconet performance. IEEE Commun. Mag. 49(9): 84-89 (2011)
[j1]
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David Contreras, Mario Castro:
Adaptive Polling Enhances Quality and Energy Saving for Multimedia over Bluetooth. IEEE Commun. Lett. 15(5): 521-523 (2011)
2010
[c2]
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Miguel Angel Sanz-Bobi, David Contreras, J. García de Diego, Alberto Pérez, Jose J. de Vicente:
Multiagent System for the Prevention of Accidents of People Living Alone. ICAART (2) 2010: 299-304

2000 – 2009

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2008
[c1]
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Juan Pascual, Miguel Angel Sanz-Bobi, David Contreras:
Intelligent System for Assisting Elderly People at Home. HEALTHINF (1) 2008: 159-163

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