A fuzzy content-based group recommender system with dynamic selection of the aggregation functions
International Journal
Year of publication
2022
Author
Raciel Yera
Ahmad A. Alzahrani
Luis Martínez
Volume
150
Pagination
273-296
Keywords
content-based recommendation
group recommender systems
Dynamic aggregation selection
machine learning
DOI
https://doi.org/10.1016/j.ijar.2022.08.015
Journal
International Journal of Approximate Reasoning
ISSN Number
0888-613X
URL
https://www.sciencedirect.com/science/article/pii/S0888613X2200127X
Yera, R., et al. «A Fuzzy Content-Based Group Recommender System With Dynamic Selection Of The Aggregation Functions». International Journal Of Approximate Reasoning, 2022, pp. 273-296.
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1-s2.0-S0888613X2200127X-main.pdf1.83 MB
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Content-based group recommender systems: a general taxonomy and further improvements
International Journal
Year of publication
2021
Author
Yilena Pérez-Almaguer
Raciel Yera
A. A. Alzahrani
Luis Martínez
Volume
184
Pagination
115444
Keywords
content-based recommendation
group recommender systems
machine learning
personalization
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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Perez_Yera_etal_ESWA2021_ContentBased.pdf1.98 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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CLG-REJA: A Consensus Location-aware group recommender system for Restaurants
Author
Jorge Castro
óscar García
Luis Martínez
Keywords
Consensus reaching process
context awareness
group decision-making
group recommendation
group recommender systems
tourism
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.
International Conference
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reja-recsys-TouRS15-paper.pdf5 MB
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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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