The four dimensions of social network analysis: An overview of research methods, applications, and software tools

D Camacho, A Panizo-LLedot, G Bello-Orgaz… - Information …, 2020 - Elsevier
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Personality-aware product recommendation system based on user interests mining and metapath discovery

S Dhelim, H Ning, N Aung, R Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A recommendation system is an integral part of any modern online shopping or social
network platform. The product recommendation system as a typical example of the legacy …

Mining user interest based on personality-aware hybrid filtering in social networks

S Dhelim, N Aung, H Ning - Knowledge-Based Systems, 2020 - Elsevier
With the emergence of online social networks and microblogging websites, user interest
mining has been an active research topic for the past few years. However, most of the …

User behavior mining on social media: a systematic literature review

RM Safari, AM Rahmani, SH Alizadeh - Multimedia Tools and Applications, 2019 - Springer
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 …

Inferring user interests in microblogging social networks: a survey

G Piao, JG Breslin - User Modeling and User-Adapted Interaction, 2018 - Springer
With the growing popularity of microblogging services such as Twitter in recent years, an
increasing number of users are using these services in their daily lives. The huge volume of …

Predicting users' future interests on social networks: A reference framework

F Zarrinkalam, HA Noughabi, Z Noorian, H Fani… - Information Processing …, 2024 - Elsevier
Predicting users' interests on social networks is gaining attention due to its potential to cater
customized information and services to the end users. Although previous works have …

Promoting by Looking into Friend Circles: An Inadequately-labeled and Socially-aware Financial Technique for Products Recommendation

N Su - IEEE Access, 2024 - ieeexplore.ieee.org
We have developed a classification method that segments a large group of Amazon or
TikTok users into distinct categories, or “genres,” based on their shared purchasing …

Extracting, mining and predicting users' interests from social media

F Zarrinkalam, S Faralli, G Piao… - … and Trends® in …, 2020 - nowpublishers.com
The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

Social user interest mining: methods and applications

F Zarrinkalam, H Fani, E Bagheri - Proceedings of the 25th ACM …, 2019 - dl.acm.org
he abundance of user generated content on social networks pro-vides the opportunity to
build models that are able to accurately and effectively extract, mine and predict users' …

Extracting, mining and predicting users' interests from social networks

F Zarrinkalam, H Fani, E Bagheri - … of the 42nd International ACM SIGIR …, 2019 - dl.acm.org
The abundance of user generated content on social networks provides the opportunity to
build models that are able to accurately and effectively extract, mine and predict users' …