Augmenting Data to Improve the Performance of Recommender Systems.

Joel Pinho Lucas Leticia Freire de Figueiredo Joel Pinho Lucas Aline Paes Augmenting Data to Improve the Performance of Recommender Systems. 520-523 2024 STIL https://doi.org/10.5753/stil.2024.31171 conf/stil/2024 db/conf/stil/stil2024.html#FigueiredoLP24 Joel Pinho Lucas Joao Felipe Guedes da Silva Leticia Freire de Figueiredo NPR: a News Portal Recommendations dataset. 2023 NORMalize@RecSys https://ceur-ws.org/Vol-3639/paper6.pdf conf/normalize/2023 db/conf/normalize/normalize2023.html#LucasSF23 Joel Pinho Lucas Leticia Freire de Figueiredo Challenges and Solutions in Large-Scale News Recommenders. 170-181 2023 PAAMS (Workshops) https://doi.org/10.1007/978-3-031-37593-4_14 conf/paams/2023w db/conf/paams/paams2023w.html#LucasF23 Joel Pinho Lucas Leticia Freire de Figueiredo Felipe Alves Ferreira Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics. 2022 Perspectives@RecSys https://ceur-ws.org/Vol-3228/abstract2.pdf conf/recsys/2022perspectives db/conf/recsys/perspectives2022.html#LucasFF22 María N. Moreno García Joel Pinho Lucas Vivian F. López Batista Fuzzy Data-Mining Hybrid Methods for Recommender Systems. 327-344 2014 Soft Computing for Business Intelligence https://doi.org/10.1007/978-3-642-53737-0_22 series/sci/2014-537 db/series/sci/sci537.html#MorenoLB14

Joel Pinho Lucas Nuno Luz María N. Moreno García Ricardo Anacleto Ana Maria de Almeida Figueiredo Constantino Martins A hybrid recommendation approach for a tourism system. 3532-3550 2013 40 Expert Syst. Appl. 9 https://doi.org/10.1016/j.eswa.2012.12.061 https://www.wikidata.org/entity/Q60485673 db/journals/eswa/eswa40.html#LucasLMAFM13

Nuno Luz Ricardo Anacleto Constantino Martins Ana de Almeida 0001 Joel Pinho Lucas Lightweight tourism recommendation. 106-123 2013 8 Int. J. Web Eng. Technol. 2 https://doi.org/10.1504/IJWET.2013.055712 https://www.wikidata.org/entity/Q60485681 db/journals/ijwet/ijwet8.html#LuzAMAL13

Joel Pinho Lucas Saddys Segrera María N. Moreno García Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems. 1273-1283 2012 39 Expert Syst. Appl. 1 https://doi.org/10.1016/j.eswa.2011.07.136 db/journals/eswa/eswa39.html#LucasSG12

Joel Pinho Lucas Anne Laurent María N. Moreno García Maguelonne Teisseire A Fuzzy Associative Classification Approach for Recommender Systems. 579-618 2012 20 Int. J. Uncertain. Fuzziness Knowl. Based Syst. 4 https://doi.org/10.1142/S0218488512500274 db/journals/ijufks/ijufks20.html#LucasLGT12

Joel Pinho Lucas Bruno E. da Silva Coelho María N. Moreno García Ana Maria de Almeida Figueiredo Constantino Lopes Martins Applying Recommender Methodologies in Tourism Sector. 101-108 2011 PAAMS (Special Sessions) https://doi.org/10.1007/978-3-642-19917-2_13 https://www.wikidata.org/entity/Q60485691 conf/paams/2011s db/conf/paams/paams2011s.html#LucasCGFM11 María N. Moreno García Joel Pinho Lucas Vivian F. López Batista María Dolores Muñoz Vicente Semantic Based Web Mining for Recommender Systems. 17-25 2010 DCAI https://doi.org/10.1007/978-3-642-14883-5_3 conf/dcai/2010 db/conf/dcai/dcai2010.html#GarciaLBV10 María N. Moreno García Joel Pinho Lucas Vivian F. López Batista María José Polo Martín Multivariate Discretization for Associative Classification in a Sparse Data Application Domain. 104-111 2010 HAIS (1) https://doi.org/10.1007/978-3-642-13769-3_13 conf/hais/2010-1 db/conf/hais/hais2010-1.html#GarciaLBM10 María N. Moreno García Joel Pinho Lucas Saddys Segrera Vivian F. López Batista Mining quantitative class-association rules for software size estimation. 199-204 2009 ISCIS https://doi.org/10.1109/ISCIS.2009.5291844 conf/iscis/2009 db/conf/iscis/iscis2009.html#GarciaLSB09 Saddys Segrera Joel Pinho Lucas María N. Moreno García Information-Theoretic Measures for Meta-learning. 458-465 2008 HAIS https://doi.org/10.1007/978-3-540-87656-4_57 conf/hais/2008 db/conf/hais/hais2008.html#SegreraPM08 Joel Pinho Lucas Saddys Segrera María N. Moreno García Comparing the Use of Traditional and Associative Classifiers towards Personalized Recommendations. 607-612 2008 SEKE conf/seke/2008 db/conf/seke/seke2008.html#LucasSM08 Ana de Almeida 0001 Ricardo Anacleto Vivian F. López Batista Bruno E. da Silva Coelho Felipe Alves Ferreira Ana Maria de Almeida Figueiredo Leticia Freire de Figueiredo María N. Moreno García Anne Laurent Nuno Luz María José Polo Martín Constantino MartinsConstantino Lopes Martins Aline Paes Saddys Segrera Joao Felipe Guedes da Silva Maguelonne Teisseire María Dolores Muñoz Vicente