Comparative study of the mechanisms for personalization of information
Authors: 
Moustapha Cissé, Marie Ndiaye, Khalifa Gaye, Ousmane Sall, Mouhamadou Saliou DialloAuthors Info & Claims
Moustapha Cissé, Marie Ndiaye, Khalifa Gaye, Ousmane Sall, Mouhamadou Saliou DialloAuthors Info & ClaimsArticle No.: 31, Pages 1 - 7
Abstract
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.
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March 2019
249 pages
ISBN:9781450362924
DOI:10.1145/3361570
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Published: 24 March 2019
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icist 2019
icist 2019: 9th International Conference on Information Systems and Technologies
March 24 - 26, 2019
Cairo, Egypt
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