Increasing Efficiency of Recommendation System using Big Data Analysis

In the present Digital Space a lot of Internet users try to come up with solutions to a particular problem by suggesting solutions that are pre-existing on the Internet. This brings down the originality of posts and we are able to overcome this problem by applying prediction models on data sets. It is important for a user to come up with original ideas to gain up votes which in turn represent the quality of a post. Due to the huge influx of data at every moment, the need for big data analytics becomes essential and hence the use of an open source framework like Hadoop is imperative so as to increase effectiveness of recommender system built on these prediction models

A Cybersecurity Model for a Roblox-based Metaverse Architecture Framework

The adoption of virtual reality VR and augmented reality AR headsets in futuristic and science fiction has made it possible for the Metaverse to exist as a single universal immersive virtual universe By extending technology outside of our physical reality the Metaverse alters the human experience The four categories we use to categorize metaverse definitions are environment interface interaction and social value Currently it is unclear what the metaverse s structure and elements are A cybersecurity framework for these devices is necessary as the world grows more interconnected and immersive technologies are increasingly widely used in business government and consumer markets Used was a literature revie

The impact of columnar file formats on SQL‐on‐hadoop engine performance: A study on ORC and Parquet

n/