In the study, two methods for recommending application software were implemented and evaluated based on their ability to recommend alternative applications with related functionality to the one that a user is currently browsing. One method was based on Term Frequency–Inverse Document Frequency (TF-IDF) and the other was based on Latent Semantic Indexing (LSI). The dataset used was a set of 2501...

This paper describes a decentralised approach to social filtering based on trust between agents in a multiagent system. The social filtering in the proposed approach is built on the interactions between collaborative software agents performing content-based filtering. This means that it uses a mixture of content-based and social filtering and thereby, it takes advantage of both methods.

As the content on the internet contains sensitive adult material, filtering and blocking this content is essential for the social and ethical values of the many societies and organizations. In this paper, the content filtering is explored from still images’ perspectives. Thus, this article investigates and analyses the content based filtering which can help in the flagging of the images as adul...

<span lang="EN-US">The volume of healthcare information available on the internet has exploded in recent years. Nowadays, many online platforms provide patients with detailed about doctors. However, one most important challenges such is lack personalized services for supporting selecting best-suited In particular, it becomes extremely time-consuming and difficult to search through all Rec...

Requirements engineering (RE) is among the most valuable and critical processes in software development. The quality of this process significantly affects success a project. An important step RE requirements elicitation, which involves collecting project-related from different sources. Repositories reusable are typically sources an increasing number requirements. However, searching such reposit...