From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

TM Al-Hasan, AN Sayed, F Bensaali, Y Himeur… - Big Data and Cognitive …, 2024 - mdpi.com
Recommender systems are a key technology for many applications, such as e-commerce,
streaming media, and social media. Traditional recommender systems rely on collaborative …

[HTML][HTML] A hybrid correlation-based deep learning model for email spam classification using fuzzy inference system

FE Ayo, LA Ogundele, S Olakunle, JB Awotunde… - Decision Analytics …, 2024 - Elsevier
Spam emails are unwanted and unsolicited messages. The major problems in email spam
detection methods are low detection rates and a high likelihood of false alarms. This study …

HMDE‐FS: A homogeneous distributed ensemble feature selection framework based on resampling with/without replacement

V Nosrati, M Rahmani - Concurrency and Computation …, 2023 - Wiley Online Library
Applying ensemble feature selection (EFS) models in various problems has not been
actively discussed, and there has been a lack of effort to make it applicable in the situations …

A novel deep learning model-based optimization algorithm for text message spam detection

L Das, L Ahuja, A Pandey - The Journal of Supercomputing, 2024 - Springer
Mobile texting has increased social engineering assaults like phishing. Because spam, or
unsolicited text messages, spread phishing attempts that steal personal information …

Enhancing Adaptive Video Streaming through Fuzzy Logic-Based Content Recommendation Systems: A Comprehensive Review and Future Directions

K Khan - arXiv preprint arXiv:2404.08691, 2024 - arxiv.org
As the demand for high-quality video content continues to rise, adaptive video streaming
plays a pivotal role in delivering an optimal viewing experience. However, traditional content …

Foreign Language Anxiety of College English Teachers and Their Countermeasures

Q Xie - International Journal of Cognitive Informatics and …, 2023 - igi-global.com
It is necessary for English teachers to grasp the causes of students' language anxiety and
explore ways to avoid, reduce, and eliminate students' anxiety. This paper discusses the …

Development of and research into a rigid algorithm for analyzing Twitter publications and its influence on the movements of the cryptocurrency market

IS Makarov, ER Bagantsova, PA Iashi… - Компьютерные …, 2023 - mathnet.ru
Social media is a crucial indicator of the position of assets in the financial market. The paper
describes the rigid solution for the classification problem to determine the influence of social …

Development of and research on an algorithm for distinguishing features in Twitter publications for a classification problem with known markup

IS Makarov, ER Bagantsova, PA Iashi… - Компьютерные …, 2023 - mathnet.ru
Social media posts play an important role in demonstration of financial market state, and
their analysis is a powerful tool for trading. The article describes the result of a study of the …

A Clustering Based Feature Selection Method in Spam Detection

V Nosrati, M Rahmani - Iranian Journal of Information Management, 2022 - aimj.ir
One of the ways to detect spam is classifying emails into two categories: spam and non-
spam. The high efficiency of machine learning methods in various fields has developed …