Enrichissement des contenus par la r\'eindexation des usagers : un \'etat de l'art sur la probl\'ematique

TL;DR

This paper reviews the challenges in information retrieval systems related to user relevance and proposes user-driven reindexing methods to enhance content semantic visibility and user engagement.

Contribution

It presents an overview of current issues in IR and discusses the concept of user-based reindexing to improve content indexing and retrieval relevance.

Findings

Identifies gaps between user and system relevance in IR.

Highlights the potential of user contributions for content enrichment.

Suggests reindexing as a way to enhance semantic visibility.

Abstract

Information retrieval (IR) is a user approach to obtain relevant information which meets needs with the help of a IR system (IRS). However, the IRS shows certain differences between user relevance and system relevance. These gaps are essentially related to the imperfection of the indexing process (as approach related to the IR), to problems related to the misunderstanding of the natural language and the non correspondence between the real needs of the user and the results of his query. As idea is to think about an ?intellectual? indexing that takes into account the point of view of the user. By consulting the document, user can build information as added-value on the existing content: new information which grows contents and allows the semantic visibility or facilitates the reading by the annotations, by links to other content, by new descriptors, specific new abstracts of users: it is the reindexing of the contents by the contribution or the vote of the uses