@conference {Lahlou20163312,
	title = {Improving recommendations using context from users{\textquoteright} reviews},
	booktitle = {Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016},
	year = {2016},
	note = {cited By 0},
	pages = {3312-3315},
	abstract = {Recommender systems enable E-commerce websites to improve their sales by suggesting relevant items to customers. If considering the context of buying situations, more accurate recommendations can be computed. In this paper, we discuss the issue of using the contextual information contained in users{\textquoteright} reviews in order to improve recommendation. Copyright {\textcopyright} 2016 International Business Information Management Association},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984653667\&partnerID=40\&md5=a03c657d3c2b4702850bc5f2e897eb3a},
	author = {Lahlou, F.Z. and Benbrahim, H. and Kassou, I.}
}
@conference {Amarouche20162876,
	title = {Introduction to competitive intelligence: Process, applications and tools},
	booktitle = {Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016},
	year = {2016},
	note = {cited By 0},
	pages = {2876-2885},
	abstract = {In the world of excessive business competitiveness, almost every company tries to monitor its environment to exceed the competitors. Getting knowledge about competitors is the basic principal of what is called Competitive Intelligence (CI). Many applications of Competitive Intelligence can be used like Opinion Mining and Foresight studies and the process of obtaining such intelligence differs according to the company{\textquoteright}s needs. In this paper, we will present in more details the definitions of CI and a general process grouping the most used steps in conducting such study. In the end we will present some tools useful in CI. Copyright {\textcopyright} 2016 International Business Information Management Association},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984646253\&partnerID=40\&md5=1c66c097dc1b53d274daa126d36a743f},
	author = {Amarouche, K. and El Akrouchi, M. and Benbrahim, H. and Kassou, I.}
}
@conference {Machhour201367,
	title = {Improving text categorization: A fully automated ontology based approach},
	booktitle = {2013 3rd International Conference on Communications and Information Technology, ICCIT 2013},
	year = {2013},
	note = {cited By 1},
	pages = {67-72},
	abstract = {This paper presents an improvement of text categorization models by document annotation with previously imported ontologies. A fully automated algorithm will be introduced to annotate plain text documents. Simple strategies combining annotation results with the categorization models are also presented and experienced. Conducted experiments present an improvement of tested categorization models when mixed with the annotation results. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/ICCITechnology.2013.6579524},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883898536\&doi=10.1109\%2fICCITechnology.2013.6579524\&partnerID=40\&md5=2216baabb84bdd7324b7ec625a4eba68},
	author = {Machhour, H. and Kassou, I.}
}
