Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …

Data encryption techniques are important for answering the question: How secure is the
Internet for sending sensitive data. Keeping data secure while they are sent through the …

This innovative study introduces a novel enhancement to recommendation systems through
a synergistic integration of Collaborative Filtering (CF) and Content-Based Filtering (CBF) …

This research compares unsupervised learning methods in topic extraction and modeling in
large-scale text corpora. The methods used are Singular Value Decomposition (SVD) and …

Recommender systems are used to suggest items to users based on their interests. They
have been used widely in various domains, including online stores, web advertisements …

Recommendation systems are an important feature in the proposed virtual life, where users
are often stuck with choices most of the time and need help to be able to find what they are …

Recommender system (RS) handles the overload issues by providing adequate data on a
variety of information according to the user preference or the observed actions regarding …

The immediate availability of blood can save other lives in case of emergency needs. Blood
transfusion is a continuous demand, as it is widely required for many medical surgeries and …

Emotion Analysis (EA) is a process of determining if the text has any emotion. EA spread
significantly in the recent years, especially for social media applications as applied to tweets …

Recommender Systems are used to provide suggestions to users based on their interests.
One of the well-known problems in recommender systems is the cold start problem, which …