A Multi-view Clustering Approach for the Recommendation of Items in Social Networking Context

Lamia Berkani, Lylia Betit, Louiza Belarif. A Multi-view Clustering Approach for the Recommendation of Items in Social Networking Context. In Mustapha Réda Senouci, Mohamed El Yazid Boudaren, Faouzi Sebbak, M'hamed Mataoui, editors, Advances in Computing Systems and Applications - Proceedings of the 4th Conference on Computing Systems and Applications , CSA 2020, Algiers, Algeria, 14-15 December 2020. Volume 199 of Lecture Notes in Networks and Systems, pages 241-251, Springer, 2020. [doi]

@inproceedings{BerkaniBB20,
  title = {A Multi-view Clustering Approach for the Recommendation of Items in Social Networking Context},
  author = {Lamia Berkani and Lylia Betit and Louiza Belarif},
  year = {2020},
  doi = {10.1007/978-3-030-69418-0_22},
  url = {https://doi.org/10.1007/978-3-030-69418-0_22},
  researchr = {https://researchr.org/publication/BerkaniBB20},
  cites = {0},
  citedby = {0},
  pages = {241-251},
  booktitle = {Advances in Computing Systems and Applications - Proceedings of the 4th Conference on Computing Systems and Applications , CSA 2020, Algiers, Algeria, 14-15 December 2020},
  editor = {Mustapha Réda Senouci and Mohamed El Yazid Boudaren and Faouzi Sebbak and M'hamed Mataoui},
  volume = {199},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-69418-0},
}