Community detection in social recommender systems: a survey
Abstract Information extracted from social network services promise to improve the accuracy
of recommender systems in various domains. Against this background, community detection …
of recommender systems in various domains. Against this background, community detection …
Producing relevant interests from social networks by mining users' tagging behaviour: A first step towards adapting social information
Social media provides an environment of information exchange. They principally rely on
their users to create content, to annotate others' content and to make on-line relationships …
their users to create content, to annotate others' content and to make on-line relationships …
Community detection using Jaya optimization algorithm based on deep learning methods and KNN graph-based clustering
M Aliabadi, H Ghaffari - Journal of Modelling in Management, 2024 - emerald.com
Purpose In this paper, community identification has been considered as the most critical task
of social network analysis. The purpose of this paper is to organize the nodes of a given …
of social network analysis. The purpose of this paper is to organize the nodes of a given …
Deriving user's profile from sparse egocentric networks: Using snowball sampling and link prediction
S On-At, MF Canut, A Péninou… - … Conference on Digital …, 2014 - ieeexplore.ieee.org
Several studies demonstrate effectiveness and benefits of using user's social network
information to enrich user's profile. In this context, one of our contributions [1] proposes an …
information to enrich user's profile. In this context, one of our contributions [1] proposes an …
Toward egocentric network-based learner profiling in adaptive e-learning systems: A concept paper
S On-At, MF Canut, A Péninou, K Srisombat… - Proceedings of the 2019 …, 2019 - dl.acm.org
Adaptive E-learning systems, which provide personalized learning experiences based on
learner's specific characteristics (eg knowledge, skills, and competencies), are essential for …
learner's specific characteristics (eg knowledge, skills, and competencies), are essential for …
Ontology-based approach for extracting user interests centers
I El Achkar, A Labriji, F Ghanimi, EH Labriji - Proceedings of the 3rd …, 2018 - dl.acm.org
Since the creation of the web, the number of its numeric data is increasing exponentially,
which lead to two major problems: cognitive overload and disorientation [1]. To respond to …
which lead to two major problems: cognitive overload and disorientation [1]. To respond to …
Système de recommandation à base de communautés
A Hadil, NEY Mandi - 2022 - dspace.univ-tiaret.dz
Les systèmes de recommandation jouent un rôle important en suggérant des informations
pertinentes aux utilisateurs. Dans ce travail, nous introduisons l'information démographique …
pertinentes aux utilisateurs. Dans ce travail, nous introduisons l'information démographique …
[图书][B] Content-based recommender system for an academic social network
VA Rohani - 2014 - search.proquest.com
The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich
online information and provides various new sources of knowledge. The situation, however …
online information and provides various new sources of knowledge. The situation, however …
Content-based recommender system for an academic social network/Vala Ali Rohani
R Vala Ali - 2014 - studentsrepo.um.edu.my
The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich
online information and provides various new sources of knowledge. The situation, however …
online information and provides various new sources of knowledge. The situation, however …