Comparative study of the mechanisms for personalization of information

The relevance of the information provided, its intelligibility and its adaptation to customer usage and preferences are key factors in the rejection or success of an information system. Thus, in a context of information superabundance and heterogeneity, the implementation of mechanisms for personalizing information has become essential. Personalizing information means adapting it to In most information personalization mechanisms, there is agreement on the usefulness of having a user profile. The latter can be seen as a factoring of the invariant part of the user's preferences. There are two types of profiles: the statistical profile and the inferred profile. For the construction and updating of this profile, several approaches and techniques can be used. The personalization of information can appear in two modes: in query or recommendation, and the systems using it can be divided into three groups: recommendation systems, contextual access systems and custom meta-search engines. In addition, it can be used in various technological fields such as: information retrieval, databases and human-machine interfaces. In this work we carry out a comparative study of the mechanisms for personalization of information.