According to various worldwide statistics, most car accidents occur solely due to human
error. The person driving a car needs to be alert, especially when travelling through high …

The content-based filtering technique has been used effectively in a variety of
Recommender Systems (RS). The user explicitly or implicitly provides data in the Content …

Screen reader plugins are small pieces of code that blind users can download and install to
enhance the capabilities of their screen readers. In this paper, we aim to understand the …

Recommendation Systems have obtained huge attention with notion to assist users in
determining their interests by prognosticating their ratings or preferences on specific item …

Globally, there has been a drastic increase in student-teacher ratio, over the years, which
has led to the popularity of the digital examination system over classrooms, which is also …

The pandemic situation in 2020 brought about a 'digitized new normal'and created various
issues within the current education systems. One of the issues is the monitoring of students …

The exponential growth of online information has necessitated effective solutions to combat
information overload and optimize network resources. Recommender systems (RS) have …

In current days, the recommendation system is the most popular thing which is used in
almost all websites and apps like Internshala, LinkedIn, Instagram, Facebook, Amazon …

Recommendations engines are information filtering technologies that employ various
frameworks as well as data to inform a specific user/viewer of the most important aspects …

Recommendation system relies on information of user preference and user behavior in
order to recommend the useful information. The existing recommendation systems still have …