Sampling and noise filtering methods for recommender systems: A literature review
In the era of online business, many e-commerce sites have evolved which recommend items
according to one's needs and interests. Plenty of data is available to be processed to make …
according to one's needs and interests. Plenty of data is available to be processed to make …
Cyber attack detection thanks to machine learning algorithms
A Delplace, S Hermoso, K Anandita - arXiv preprint arXiv:2001.06309, 2020 - arxiv.org
Cybersecurity attacks are growing both in frequency and sophistication over the years. This
increasing sophistication and complexity call for more advancement and continuous …
increasing sophistication and complexity call for more advancement and continuous …
Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network
K Vivekanandan, N Praveena - Journal of Ambient Intelligence and …, 2021 - Springer
In social aware network (SAN) paradigm, the fundamental activities concentrate on
exploring the behavior and attributes of the users. This investigation of user characteristic …
exploring the behavior and attributes of the users. This investigation of user characteristic …
Hybrid gated recurrent unit and convolutional neural network-based deep learning mechanism for efficient shilling attack detection in social networks
The degree of openness of the socially aware recommendation systems and the possibility
of the attackers injecting vast numbers of fake profiles biases the prediction of the system …
of the attackers injecting vast numbers of fake profiles biases the prediction of the system …
Time-Bin-Based Neighbourhood Algorithm for Temporal Effects in Recommendation Systems
S Aygun, M Katipoglu - Tehnički vjesnik, 2022 - hrcak.srce.hr
Sažetak Recommender systems are used in various applications to boost the prediction
accuracy of user preferences. The recent developments in recommendation frameworks …
accuracy of user preferences. The recent developments in recommendation frameworks …
[图书][B] Detecting Security Anomalies Using Machine Learning for Smart Homes
CO Benedict - 2023 - search.proquest.com
Smart home technology (SHT), an Internet of Things (IoT) application, is a growing industry
centered on the remote control of devices and networks that offers convenience, cost …
centered on the remote control of devices and networks that offers convenience, cost …
Підсистема підтримки прийняття рішень при виникненні пожежі в салоні повітряного судна
ЮО Горбань - 2022 - dspace.nau.edu.ua
Стрімке впровадження інфокомунікаційних технологій у різні сфери людської діяльності
сприяє розвитку методів протидії їхньому функціонуванню для стримування …
сприяє розвитку методів протидії їхньому функціонуванню для стримування …