Tweets classification and sentiment analysis for personalized tweets recommendation

AM Khattak, R Batool, FA Satti, J Hussain… - …, 2020 - Wiley Online Library
Mining social network data and developing user profile from unstructured and informal data
are a challenging task. The proposed research builds user profile using Twitter data which is …

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 …

Could AI democratise education? Socio-technical imaginaries of an edtech revolution

S Bulathwela, M Pérez-Ortiz, C Holloway… - arXiv preprint arXiv …, 2021 - arxiv.org
Artificial Intelligence (AI) in Education has been said to have the potential for building more
personalised curricula, as well as democratising education worldwide and creating a …

[HTML][HTML] Semantics aware intelligent framework for content-based e-learning recommendation

H Ezaldeen, SK Bisoy, R Misra, R Alatrash - Natural Language Processing …, 2023 - Elsevier
E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Peek: A large dataset of learner engagement with educational videos

S Bulathwela, M Perez-Ortiz, E Novak, E Yilmaz… - arXiv preprint arXiv …, 2021 - arxiv.org
Educational recommenders have received much less attention in comparison to e-
commerce and entertainment-related recommenders, even though efficient intelligent tutors …

Bias in Knowledge Graphs--an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia

MM Voit, H Paulheim - arXiv preprint arXiv:2105.00674, 2021 - arxiv.org
Public knowledge graphs such as DBpedia and Wikidata have been recognized as
interesting sources of background knowledge to build content-based recommender systems …

Supported matrix factorization using distributed representations for personalised recommendations on twitter

A Kumar, H Ahuja, NK Singh, D Gupta… - Computers & Electrical …, 2018 - Elsevier
Microblogging is one of the most prevalent media for sharing news on the Internet.
Microblogging platforms, such as Twitter have proven to be of great success in targeted …

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 …

[HTML][HTML] Knowledge graphs for online marketing and sales of touristic services

A Fensel, Z Akbar, E Kärle, C Blank, P Pixner, A Gruber - Information, 2020 - mdpi.com
Direct online marketing and sales are nowadays an essential part of almost any business
that addresses an end consumer, such as in tourism. On the downside, the data and content …