Nombre
Raciel
Apellidos
Yera
International Journal
Year of publication
2021
Volume
184
Pagination
115444
DOI
https://doi.org/10.1016/j.eswa.2021.115444
Journal
Expert Systems with Applications
ISSN Number
0957-4174
URL
https://www.sciencedirect.com/science/article/pii/S0957417421008587
Pérez-Almaguer, Y., et al. «Content-Based Group Recommender Systems: A General Taxonomy And Further Improvements». Expert Systems With Applications, 2021, p. 115444.
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Cuartil
Q1
Year of publication
2020
Conference Name
INFUS 2020 - International Conference on Intelligent and Fuzzy Systems 2020 - Estambul - Turquia
Volume
1197
Edition
Advances in Intelligent Systems and Computing
Section
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions
Pagination
894--902
Date Published
07/2020
Publisher
Springer, Cham
Place Published
Suiza
ISBN Number
978-3-030-51155-5
DOI
http://doi.org/10.1007/978-3-030-51156-2_103
Barranco, M. J., et al. «A Big Data Semantic Driven Context Aware Recommendation Method». 07/2020d. C. Infus 2020 - International Conference On Intelligent And Fuzzy Systems 2020 - Estambul - Turquia, Advances in Intelligent Systems and Computing, Springer, Cham, 2020, p. 894--902.
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Year of publication
2019
Conference Name
IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 14th-16th November
Pagination
36-42
Date Published
14th-16th November 2019
Place Published
Dalian (China)
ISBN Number
978-1-7281-2348-6
DOI
10.1109/ISKE47853.2019.9170432
Yera, R., y L. Martínez. «A Health-Awareness Nutrition Recommender System». 14th-16th November 2019d. C. Ieee 14Th International Conference On Intelligent Systems And Knowledge Engineering, 14Th-16Th November, 2019, pp. 36-42.
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International Journal
Year of publication
2019
Volume
7
Issue
1
Pagination
182664-182678
DOI
10.1109/ACCESS.2019.2957881
Journal
IEEE Access
ISSN Number
2169-3536
Castro, J., et al. «A Big Data Semantic Driven Context Aware Recommendation Method For Question-Answer Items». Ieee Access, 2019, pp. 182664-182678.
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International Journal
Year of publication
2019
Volume
12
Issue
2
Pagination
1382 - 1392
DOI
https://doi.org/10.2991/ijcis.d.191115.001
Journal
International Journal of Computational Intelligence Systems
ISSN Number
1875-6883
URL
https://doi.org/10.2991/ijcis.d.191115.001
Yera, R., et al. «Exploring Fuzzy Rating Regularities For Managing Natural Noise In Collaborative Recommendation». International Journal Of Computational Intelligence Systems, 2019, pp. 1382 - 1392.
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Resumen
"Recommender Systems (RSs) are tools focused on suggesting items that match the interests and preferences of a target user. They have been used in several domains such as e-commerce, e-learning, and social networks. These systems require the elicitation of user preferences, which are not always precise because there are external factors such as human errors, or the inherent vagueness associated to human beings; which are usually related to user behaviors. In RSs, such imperfect behaviors are identified as natural noise (NN), and can bias negatively the recommendation, which affects the RS performance. The current chapter presents two fuzzy models for NN management in a flexible way, which guarantees robust modeling of the uncertainty associated to the user profiles. These models are conceived for individual and group recommendation scenarios respectively, as a data preprocessing step before the recommendation generation. Two case studies are developed to show that the proposals lead to improvements in the accuracy of individual and group recommender systems."
Year of Publicaion
2020
Book Title
Computational Intelligence for Semantic Knowledge Management New Perspectives for Designing and Organizing Information Systems
Volume
837
Chapter
Natural Noise Management in Recommender Systems Using Fuzzy Tools
Series Volume
Studies in Computational Intelligence
Pagination
1-24
Publisher
"Springer International Publishing"
City
"Cham"
ISBN Number
"978-3-030-23760-8"
URL
"https://doi.org/10.1007/978-3-030-23760-8_1"
DOI
"10.1007/978-3-030-23760-8_1"
Yera, R., et al. «"Natural Noise Management In Recommender Systems Using Fuzzy Tools"». Computational Intelligence For Semantic Knowledge Management New Perspectives For Designing And Organizing Information Systems, Studies in Computational Intelligence, "Springer International Publishing", 2020, pp. 1-24.
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International Journal
Year of publication
2019
Volume
7
Issue
1
Pagination
96695-96711
DOI
10.1109/ACCESS.2019.2929413
Journal
IEEE Access
Date Published
12/2019
ISSN Number
2169-3536
Yera, R., et al. «A Food Recommender System Considering Nutritional Information And User Preferences». 12/2019d. C. Ieee Access, 2019, pp. 96695-96711.
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Year of publication
2018
Conference Name
13th International FLINS conference
Volume
11
Pagination
227-234
Date Published
21-24 August
Publisher
World Scientific
Place Published
Belfast (UK)
ISBN Number
978-981-3273-22-1
URL
https://www.worldscientific.com/doi/10.1142/9789813273238_0031
DOI
https://doi.org/10.1142/9789813273238_0031
Yera, R., et al. «On Group Recommendation Supported By A Minimum Cost Consensus Model». 21-24 Augustd. C. 13Th International Flins Conference, World Scientific, 2018, pp. 227-234.
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Tipo participación
Ponente
Year of publication
2013
Pagination
872-877
Date Published
June 24-28th
Publisher
2013 Joint IFSA World Congress - NAFIPS Annual Meeting
Place Published
International Fuzzy Systems Asociation, University of Alberta, Edmonton (Canada)
Yera, R., et al. Managing Natural Noise In Collaborative Recommender Systems. June 24-28th. 2013 Joint IFSA World Congress - NAFIPS Annual Meeting, 2013, pp. 872-877.
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Year of publication
2017
Conference Name
4th International Conference on Smart Education and E-Learning
Volume
75
Pagination
215-224
Date Published
21st-23rd June
Publisher
Springer
Place Published
Switzerland
ISSN Number
2190-3018
ISBN Number
978-3-319-59450-7
URL
http://www.springer.com/us/book/9783319594507
DOI
10.1007/978-3-319-59451-4
Yera, R., et al. «A Recommender System For Supporting Students In Programming Online Judges». 21st-23rd Juned. C. 4Th International Conference On Smart Education And E-Learning, Springer, 2017, pp. 215-224.
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