User behavior mining on social media: a systematic literature review
User behavior mining on Social Media (UBMSM) is the process of representing, analyzing,
and extracting operational and behavioral patterns from user behavioral data in social …
and extracting operational and behavioral patterns from user behavioral data in social …
Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model
Twitter is one of the most popular social platforms. It has changed the way of communication
and information dissemination through its real-time messaging mechanism. Recently, it has …
and information dissemination through its real-time messaging mechanism. Recently, it has …
A topic-based hidden Markov model for real-time spam tweets filtering
Online social networks (OSNs) have become an important source of information for a
tremendous range of applications and researches such as search engines, and …
tremendous range of applications and researches such as search engines, and …
Profile reliability to improve recommendation in social-learning context
Purpose Generally, the user requires customized information reflecting his/her current needs
and interests that are stored in his/her profile. There are many sources which may provide …
and interests that are stored in his/her profile. There are many sources which may provide …
Information quality in social networks: Predicting spammy naming patterns for retrieving twitter spam accounts
M Washha, A Qaroush, M Mezghani… - … Conference on Enterprise …, 2017 - hal.science
The popularity of social networks is mainly conditioned by the integrity and the quality of
contents generated by users as well as the maintenance of users' privacy. More precisely …
contents generated by users as well as the maintenance of users' privacy. More precisely …
Modeling user engagement profiles for detection of digital subscription propensity
P Misiorek, J Warmuz, D Kaczmarek… - … , and Middle Eastern …, 2021 - Springer
In this paper, we study how the application of a dynamic user engagement profiling can
influence the efficiency of systems aimed at detecting the user's propensity to buy a …
influence the efficiency of systems aimed at detecting the user's propensity to buy a …
A Case Study on the Influence of the User Profile Enrichment on Buzz Propagation in Social Media: Experiments on Delicious
M Mezghani, S On-At, A Péninou, MF Canut… - New Trends in …, 2015 - Springer
The user is the main contributor for creating information in social media. In these media,
users are influenced by the information shared through thenetwork. In a social context, there …
users are influenced by the information shared through thenetwork. In a social context, there …
[HTML][HTML] Semantic-based reconstruction of user's interests in distributed systems
C Amel Zayan, L Ghorbel, I Amous… - Computación y …, 2017 - scielo.org.mx
Generally, the user requires customized data reflecting his current needs represented in
terms of interests that are stored in his profile. Therefore, taking into account user's profile is …
terms of interests that are stored in his profile. Therefore, taking into account user's profile is …
Behavioural account-based features for filtering out social spammers in large-scale twitter data collections
Online social networks (OSNs) have become an important source of information for a
tremendous range of applications and researches. However, the high usability and …
tremendous range of applications and researches. However, the high usability and …
Qualité de l'information dans les réseaux sociaux: une méthode collaborative pour détecter les spams dans les tweets
Détecter les actions des utilisateurs mal intentionnés dits" spammeurs" est un réel défi pour
maintenir un haut niveau de performance dans les applications mises en œuvre dans les …
maintenir un haut niveau de performance dans les applications mises en œuvre dans les …