A Stacking Recommender System Based on Contextual Information for Fashion Retails

Heitor Werneck, NĂ­collas Silva, Carlos Mito, Adriano C. M. Pereira, Elisa Tuler, Diego Dias 0001, Leonardo Rocha 0001. A Stacking Recommender System Based on Contextual Information for Fashion Retails. In Osvaldo Gervasi, Beniamino Murgante, Eligius M. T. Hendrix, David Taniar, Bernady O. Apduhan, editors, Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I. Volume 13375 of Lecture Notes in Computer Science, pages 560-574, Springer, 2022. [doi]

@inproceedings{WerneckSMPT0022,
  title = {A Stacking Recommender System Based on Contextual Information for Fashion Retails},
  author = {Heitor Werneck and NĂ­collas Silva and Carlos Mito and Adriano C. M. Pereira and Elisa Tuler and Diego Dias 0001 and Leonardo Rocha 0001},
  year = {2022},
  doi = {10.1007/978-3-031-10522-7_38},
  url = {https://doi.org/10.1007/978-3-031-10522-7_38},
  researchr = {https://researchr.org/publication/WerneckSMPT0022},
  cites = {0},
  citedby = {0},
  pages = {560-574},
  booktitle = {Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Eligius M. T. Hendrix and David Taniar and Bernady O. Apduhan},
  volume = {13375},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-10522-7},
}