TY - JOUR
KW - Recommendation Systems
KW - DSS
KW - Twitter
KW - Collaborative Filtering
KW - Industrial Diagnosis
AU - Noria Taghezout
AU - Fatima Zohra Benkaddour
AU - Fatima Zahra Kaddour-Ahmed
AU - Ilyes-Ahmed Hammadi
AB - In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation process considered here is composed of three steps: Collecting and filtering information; Prediction or recommendation step; evaluating and improvement. In this work, we focus on collecting and filtering step. We mainly use information result from collaborative sessions and documents describing solutions that are attributed to the complex diagnostic problems. The developed tool is based on collaborative filtering that operates on users' preferences and similar responses.
IS - Regular Issue
M1 - 3
N2 - In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation process considered here is composed of three steps: Collecting and filtering information; Prediction or recommendation step; evaluating and improvement. In this work, we focus on collecting and filtering step. We mainly use information result from collaborative sessions and documents describing solutions that are attributed to the complex diagnostic problems. The developed tool is based on collaborative filtering that operates on users' preferences and similar responses.
PY - 2018
SP - 118
EP - 130
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis
UR - http://www.ijimai.org/journal/sites/default/files/files/2018/06/ijimai_5_3_13_pdf_15716.pdf
VL - 5
SN - 1989-1660
ER -