Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering

Bibliographic Details
Title:	Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering
Authors:	Abdelkhalek, Raoua^Aff14, Boukhris, Imen^Aff14, Elouedi, Zied^Aff14
Contributors:	Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Woeginger, Gerhard, Editorial Board Member^Aff6, Yung, Moti, Editorial Board Member^Aff7, Yin, Hujun, editor^Aff8, Camacho, David, editor^Aff9, Tino, Peter, editor^Aff10, Tallón-Ballesteros, Antonio J., editor^Aff11, Menezes, Ronaldo, editor^Aff12, Allmendinger, Richard, editor^Aff13
Source:	Intelligent Data Engineering and Automated Learning – IDEAL 2019 : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I. 11871:310-318
Database:	Springer Nature eBooks

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