Fuzzy Norm-Explicit Product Quantization for Recommender Systems
International Journal
Year of publication
0
Author
Mohammadreza Jamalifard
Javier Andreu-Perez
Hani Hagras
Luis Martínez
Pagination
1-12
Keywords
Quantization
Recommender systems
Complexity theory
Filtering
collaborative filtering
Semiconductor device measurement
Search problems
Recommender system
Fuzzy
Product Quantization
Norm-Explicit Product Quantization
Fuzzy Norm-Explicit
DOI
10.1109/TFUZZ.2024.3365722
Journal
IEEE Transactions on Fuzzy Systems
Jamalifard, M., et al. «Fuzzy Norm-Explicit Product Quantization For Recommender Systems». Ieee Transactions On Fuzzy Systems, pp. 1-12.
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Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
International Journal
Year of publication
2023
Author
Jesús Bobadilla
Abraham Gutiérrez
Raciel Yera
Luis Martínez
Volume
280
Pagination
111016
Keywords
Recommender systems
Generative adversarial networks
Deep learning
collaborative filtering
DOI
https://doi.org/10.1016/j.knosys.2023.111016
Journal
Knowledge-Based Systems
ISSN Number
0950-7051
URL
https://www.sciencedirect.com/science/article/pii/S0950705123007669
Bobadilla, J., et al. «Creating Synthetic Datasets For Collaborative Filtering Recommender Systems Using Generative Adversarial Networks». Knowledge-Based Systems, 2023, p. 111016.
Documento
Publicado_GANRS_2023_KBS.pdf3.1 MB
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A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items
International Journal
Year of publication
2019
Author
Jorge Castro
Raciel Yera
A. A. Alzahrani
Pedro José Sánchez
Manuel José Barranco
Luis Martínez
Volume
7
Issue
1
Pagination
182664-182678
Keywords
Market research
Recommender systems
Proposals
Big Data
context-aware services
Context modeling
semantics
content-based recommender system
context-awareness
user profile contextualization
map-reduce
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.
Documento
08924671-published.pdf2.57 MB
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A food recommender system considering nutritional information and user preferences
International Journal
Year of publication
2019
Author
Raciel Yera
A. A. Alzahrani
Luis Martínez
Volume
7
Issue
1
Pagination
96695-96711
Keywords
daily meal plan recommendation
user preferences
nutritional information
multi-criteria decision making
Recommender systems
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.
Documento
On-line-food-nutrition.pdf8.72 MB
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Managing Natural Noise in Recommender Systems
Author
Luis Martínez
Jorge Castro
Raciel Yera
Keywords
Computing with Words
fuzzy logic
group recommender systems
Natural noise
Recommender systems
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.
International Conference
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Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation
International Journal
Year of publication
2019
Author
Peng Hao
Guangquan Zhang
Luis Martínez
Jie Lu
Volume
49
Issue
1
Pagination
83-96
Keywords
collaborative filtering (cf)
data sparsity
Recommender systems
social tags
transfer learning
DOI
10.1109/TCYB.2017.2764918
Journal
IEEE Transactions on Cybernetics
ISSN Number
2168-2267
Hao, P., et al. «Regularizing Knowledge Transfer In Recommendation With Tag-Inferred Correlation». Ieee Transactions On Cybernetics, 2019, pp. 83-96.
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Correcting noisy ratings in collaborative recommender systems
International Journal
Year of publication
2015
Author
Raciel Yera
Y Caballero
Luis Martínez
Publisher
Elsevier
Volume
76
Pagination
96-108
Keywords
collaborative filtering
Matrix factorization
Natural noise
Nearest neighbor-based recommendation
Recommender systems
Journal
Knowledge-based Systems
URL
http://dx.doi.org/10.1016/j.knosys.2014.12.011
Yera, R., et al. «Correcting Noisy Ratings In Collaborative Recommender Systems». Knowledge-Based Systems, Elsevier, 2015, pp. 96-108.
Documento
publicado.pdf623.61 KB
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Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures
International Journal
Year of publication
2014
Author
Jorge Castro
Rosa María Rodríguez
Manuel José Barranco
Publisher
Taylor and Francis
Volume
7
Pagination
80-89
Keywords
content-based filtering
entropy
Recommender systems
weighting of features
Journal
International Journal of Computational Intelligence Systems
Number
1
URL
http://dx.doi.org/10.1080/18756891.2013.859861
Castro, J., et al. «Weighting Of Features In Content-Based Filtering With Entropy And Dependence Measures». International Journal Of Computational Intelligence Systems, 1, Taylor and Francis, 2014, pp. 80-89.
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A fuzzy approach for natural noise management in group recommender systems
International Journal
Year of publication
2018
Author
Jorge Castro
Raciel Yera
Luis Martínez
Volume
94
Pagination
237-249
Keywords
Computing with Words
group recommender systems
Natural noise
Recommender systems
DOI
https://doi.org/10.1016/j.eswa.2017.10.060
Journal
Expert Systems with Applications
Date Published
03/ 2018
ISSN Number
0957-4174
URL
https://www.sciencedirect.com/science/article/pii/S095741741730742X
Castro, J., et al. «A Fuzzy Approach For Natural Noise Management In Group Recommender Systems». 03/ 2018d. C. Expert Systems With Applications, 2018, pp. 237-249.
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An empirical study of natural noise management in group recommendation systems
International Journal
Year of publication
2017
Author
Jorge Castro
Raciel Yera
Luis Martínez
Volume
94
Pagination
1-11
Keywords
collaborative filtering
group recommender systems
Natural noise
Recommender systems
DOI
http://dx.doi.org/10.1016/j.dss.2016.09.020
Journal
Decision Support Systems
Date Published
02/2017
ISSN Number
0167-9236
URL
http://www.sciencedirect.com/science/article/pii/S0167923616301695
Castro, J., et al. «An Empirical Study Of Natural Noise Management In Group Recommendation Systems». 02/2017d. C. Decision Support Systems, 2017, pp. 1-11.
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