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State of the art on mechanisms for personalization of information

Published: 26 December 2018 Publication History

Abstract

With the exponential growth in the volume of data and the heterogeneity of information, users are facing increasing difficulties in identifying relevant information, irrelevant information, or even noise. To overcome these issues, mechanisms for customizing information have emerged.
The personalization of information consists in adapting the information according to the preferences and/or access context of the user. Context can be seen as any information that describes an entity. The user's preferences are combined in a profile. The user profile can be seen as a setting in factor of the invariant part of the user's preferences.
The mechanisms for personalizing information are mainly based on the user profile and the user's access context. The personalization of information cannot be seen as a domain in itself because it is used in various technological fields, namely: the field of information retrieval, the field of databases and the field of human-machine interfaces.
The objective of this work is to provide an overview of the mechanisms of information personalization by presenting their foundations and showing you how information personalization is used in the various technological areas mentioned above.

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    ICSENT 2018: Proceedings of the 7th International Conference on Software Engineering and New Technologies
    December 2018
    201 pages
    ISBN:9781450361019
    DOI:10.1145/3330089
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 December 2018

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    Author Tags

    1. Personalization information
    2. data mining
    3. recommendation systems
    4. user context
    5. user preferences
    6. user profile
    7. web customization

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