Nombre
Jorge
Apellidos
Castro
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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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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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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Year of publication
2019
Date Published
02/2019
Thesis Type
Doctoral thesis
Castro, J., y L. Martínez. Novel Models In Recommender Systems And Group Recommender Systems For Improving Recommendations. 02/2019d. C. 2019.
PhD Thesis
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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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International Journal
Year of publication
2018
Volume
33
Pagination
2058-2077
DOI
10.1002/int.21922
Journal
International Journal of Intelligent Systems
Number
10
URL
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.21922
Castro, J., et al. «Group Recommendations Based On Hesitant Fuzzy Sets». International Journal Of Intelligent Systems, 10, 2018, pp. 2058-2077.
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Cuartil
Q1
Índice de impacto
3.363
Year of publication
2016
Conference Name
12th International FLINS Conference
Pagination
99-104
Publisher
World Scientific
ISBN Number
978-981-3146-96-9
DOI
10.1142/9789813146976_0019
Yera, R., et al. «An Approach For Natural Noise Management In Recommender Systems Using Fuzzy Logic». 12Th International Flins Conference, World Scientific, 2016, pp. 99-104.
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Year of publication
2016
Conference Name
5th International Conference on Theory and Practice of Natural Computing (TPNC 2016)
Pagination
3-17
Publisher
Springer
Place Published
Sendai (Japan)
ISSN Number
0302-9743
ISBN Number
978-3-319-49000-7
URL
https://link.springer.com/book/10.1007/978-3-319-49001-4
DOI
10.1007/978-3-319-49001-4
Martínez, L., et al. «Managing Natural Noise In Recommender Systems». 5Th International Conference On Theory And Practice Of Natural Computing (Tpnc 2016), Springer, 2016, pp. 3-17.
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Year of publication
2015
Conference Name
ACM Conference Series on RecSys15, TouRS15 workshop, Vienna (Austria), September 20th
Pagination
61-69
Castro, J., et al. «Clg-Reja: A Consensus Location-Aware Group Recommender System For Restaurants». Acm Conference Series On Recsys15, Tours15 Workshop, Vienna (Austria), September 20Th, 2015, pp. 61-69.
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Year of publication
2017
Conference Name
IEEE International Conference on Fuzzy Systems
Date Published
9th-12th July
Publisher
IEEE
Place Published
Naples (Italy)
ISSN Number
978-1-5090-6033-7
DOI
10.1109/FUZZ-IEEE.2017.8015484
Castro, J., et al. «Dealing With Diverstiy And Novelty In Group Recommendations Using Hesitant Fuzzy Sets». 9th-12th Julyd. C. Ieee International Conference On Fuzzy Systems, IEEE, 2017.
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