Context Clustering-based Recommender Systems

Saved in:
Bibliographic Details
Main Author: Eyad Kannout
Format: Article
Language:English
Published: Polish Information Processing Society 2020-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_21/drp/pdf/54.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850097885635411968
author Eyad Kannout
author_facet Eyad Kannout
author_sort Eyad Kannout
collection DOAJ
format Article
id doaj-art-b574caedd1f543df9145433ff6e784d4
institution DOAJ
issn 2300-5963
language English
publishDate 2020-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-b574caedd1f543df9145433ff6e784d42025-08-20T02:40:51ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632020-09-0121859110.15439/2020F54Context Clustering-based Recommender SystemsEyad Kannouthttps://annals-csis.org/Volume_21/drp/pdf/54.pdf
spellingShingle Eyad Kannout
Context Clustering-based Recommender Systems
Annals of computer science and information systems
title Context Clustering-based Recommender Systems
title_full Context Clustering-based Recommender Systems
title_fullStr Context Clustering-based Recommender Systems
title_full_unstemmed Context Clustering-based Recommender Systems
title_short Context Clustering-based Recommender Systems
title_sort context clustering based recommender systems
url https://annals-csis.org/Volume_21/drp/pdf/54.pdf
work_keys_str_mv AT eyadkannout contextclusteringbasedrecommendersystems