@article{4215,
  author = {Manel Hmimida Manel Ankoud, Orelie Ddfrishes Doria Dicen},
  title = {Recommendation Level in Faceted Classification for Documentary Classification},
  journal = {International Journal of Information Studies},
  year = {2012},
  volume = {4},
  number = {2},
  doi = {},
  url = {https://www.dline.info/ijis/fulltext/v4n2/ijisv4n2_4.pdf},
  abstract = {In the context of the National Agency of Research project “Miipa-doc”, we develop a new type of Knowledge
Organization System (KOS) called Hypertagging based on the tagging of electronic documents and the principles of faceted
classification. It was designed to simplify the tasks of information management for the organizations’ staff. In this paper, we
propose a new recommendation model and algorithm which are based on a faceted classification by level in the aim to
facilitate the documents’ indexing. This approach exploits the user trace indexing of his/her documents to learn about the
user preferences and then to produce their recommendations. Consequently, these recommendations will provide a kind of
knowledge base aiming at improving document ranking and highlight most relevant information that meeting user needs.
This model is based on a statistical method called Association Rules (AR) using an Apriori algorithm to generate the
recommendations.},
}