The collaborative relevance in the distributed information retrieval

TitreThe collaborative relevance in the distributed information retrieval
Publication TypeConference Paper
Year of Publication2017
AuthorsEnaanai, A, Doukkali, AS, Saif, I, Moutachaouik, H, Hain, M
Conference NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Abstract

Relevance is one of the most interesting topics in the information retrieval domain. In this paper, we introduce another method of relevance calculation. We propose to use the implicit opinion of users to calculate relevance. The Implicit judgment of users is injected to the documents by calculating different kinds of weighting. These latter touch several criteria like as user's weight in the query's words, user's profile, user's interest, document's content and the document popularity. In this method, each user is an active element of the system, he searches documents and he makes treatments to provide relevant information to other users in the Network. This is similar as the peer-to-peer systems; unlike that, an element (user) have to manage automatically his data by creating a short view model of his most visited documents, and calculates his relative relevance about each one. The relative relevance is variable according each user, so the final relevance is calculated by the averaging of the elementary relevance of all users. Hence, the name of collaborative relevance. © 2016 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85021875857&doi=10.1109%2fAICCSA.2016.7945827&partnerID=40&md5=24987a90a9345c06f11af61bc9d9e4c3
DOI10.1109/AICCSA.2016.7945827
Revues: 

Partenaires

Localisation


Location map

Suivez-nous sur

  

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

Résultat de recherche d'images pour "icone fax" Télécopie : (+212) 5 37 77 72 30

    Compteur de visiteurs:335,734
    Education - This is a contributing Drupal Theme
    Design by WeebPal.