An assessment of lexical, network, and content‐based features for detecting malicious URLs using machine learning and deep learning models
The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
Phishing URLs detection using sequential and parallel ML techniques: comparative analysis
In today's digitalized era, the world wide web services are a vital aspect of each individual's
daily life and are accessible to the users via uniform resource locators (URLs) …
daily life and are accessible to the users via uniform resource locators (URLs) …
New hybrid semantic-based collaborative filtering recommender systems
The recommender system (RS) improves the users' experience when searching for and
buying items by providing recommendations. This paper presents a new hybrid RS called …
buying items by providing recommendations. This paper presents a new hybrid RS called …
Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets
I Saifudin, T Widiyaningtyas - IEEE Access, 2024 - ieeexplore.ieee.org
Recommender systems are needed with the presence of the internet and social media. The
benefits that are felt in the recommender system can make it easier for users to find suitable …
benefits that are felt in the recommender system can make it easier for users to find suitable …
Model and popularity based recommendation system-a collaborative filtering approach
A recommendation system (RS) is a crucial application in the modern world, however it's still
unclear if recommendations can be effective and accurate. Collaborative filtering has been …
unclear if recommendations can be effective and accurate. Collaborative filtering has been …
On producing accurate rating predictions in sparse collaborative filtering datasets
The typical goal of a collaborative filtering algorithm is the minimisation of the deviation
between rating predictions and factual user ratings so that the recommender system offers …
between rating predictions and factual user ratings so that the recommender system offers …
The Multicarrier NOMA-Assisted Full Duplex IoT Networks for Robust Resource Allocation Using Lightweight Secure Transmission
M Gupta - 2023 3rd International Conference on Smart …, 2023 - ieeexplore.ieee.org
In this piece, we investigate a full duplex (FD) network where nonorthogonal multi-access
(NOMA) is used in both uplink and downlink broadcasts in order to exploit spectrum usage …
(NOMA) is used in both uplink and downlink broadcasts in order to exploit spectrum usage …
Group Movie Selection using Multi-channel Emotion Recognition
Social activities often done in groups include watching television or movies. Choosing a film
that appeals to the emotional inclinations of a varied group can be tricky. One of the most …
that appeals to the emotional inclinations of a varied group can be tricky. One of the most …
DISET: a distance based semi-supervised self-training for automated users' agent activity detection from web access log
Detecting automated users' agent activities at any web application through users' web
access logs is a challenging issue. Many machines learning based automated solutions …
access logs is a challenging issue. Many machines learning based automated solutions …
Enhancing Recommendation Capabilities Using Multi-Head Attention-based Federated Knowledge Distillation
As the internet and mobile computing have advanced, recommendation algorithms are used
to manage large amounts of data. However, traditional recommendation systems usually …
to manage large amounts of data. However, traditional recommendation systems usually …