H.6.3.1. Classifier design and evaluation
1. Ensemble-based Top-k Recommender System Considering Incomplete Data

M. Moradi; J. Hamidzadeh

Volume 7, Issue 3 , Summer 2019, , Pages 393-402

http://dx.doi.org/10.22044/jadm.2019.7026.1830

Abstract
  Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user-interest (Top-k recommendation problem). Demanding sufficient ...  Read More

H.6.3.1. Classifier design and evaluation
2. Exploiting Associations between Class Labels in Multi-label Classification

Z. Mirzamomen; Kh. Ghafooripour

Volume 7, Issue 1 , Winter 2019, , Pages 35-45

http://dx.doi.org/10.22044/jadm.2018.5306.1652

Abstract
  Multi-label classification has many applications in the text categorization, biology and medical diagnosis, in which multiple class labels can be assigned to each training instance simultaneously. As it is often the case that there are relationships between the labels, extracting the existing relationships ...  Read More