%0 Conference Proceedings
%T A Hybrid Model to Improve Filtering Systems
%+ Ibn Khaldoun University, BP n°78, Route de Zaaroura, 14000 Tiaret, Algeria
%+ Ibn Khaldoun University
%+ Centre de recherche sur l'Information Scientifique et Technique (CERIST)
%A Sahraoui, Kharroubi
%A Youcef, Dahmani
%A Omar, Nouali
%Z Part 9: Information Technology: Recommender Systems and Web Services
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 5th International Conference on Computer Science and Its Applications (CIIA)
%C Saida, Algeria
%Y Abdelmalek Amine
%Y Ladjel Bellatreche
%Y Zakaria Elberrichi
%Y Erich J. Neuhold
%Y Robert Wrembel
%I Springer International Publishing
%3 Computer Science and Its Applications
%V AICT-456
%P 303-314
%8 2015-05-20
%D 2015
%R 10.1007/978-3-319-19578-0_25
%K Recommender systems
%K Resource description framework
%K Dublin core
%K FOAF
%K Semantic
%Z Computer Science [cs]Conference papers
%X There is a continuous information overload on the Web. The problem treated is how to have relevant information (documents, products, services etc.) at time and without difficulty. Filtering system also called recommender systems have widely used to recommend relevant resources to users by similarity process such as Amazon, MovieLens, Cdnow etc. The trend is to improve the information filtering approaches to better answer the users expectations. In this work, we model a collaborative filtering system by using Friend Of A Friend (FOAF) formalism to represent the users and the Dublin Core (DC) vocabulary to represent the resources “items”. In addition, to ensure the interoperability and openness of this model, we adopt the Resource Description Framework (RDF) syntax to describe the various modules of the system. A hybrid function is introduced for the calculation of prediction. Empirical tests on various real data sets (Book-Crossing, FoafPub) showed satisfactory performances in terms of relevance and precision.
%G English
%Z TC 5
%2 https://inria.hal.science/hal-01789930/document
%2 https://inria.hal.science/hal-01789930/file/339159_1_En_25_Chapter.pdf
%L hal-01789930
%U https://inria.hal.science/hal-01789930
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-AICT-456
%~ IFIP-CIIA