filtering of web pages with inappropriate contents is one of the major issues in the field of intelligent network's security. having a good intelligent filtering method with high accuracy and speed is needed for any country in order to control users' access to the web. so, it has been considered by many researchers. presenting web pages in an understandable way by machines is one of the most im...

In this paper, we present a novel algorithm for representing image content by constructing a hierarchy of semantic image regions, called a Semantic Segmentation Tree (SSeg-tree). First, the hill-manipulation algorithm divides an image into several visually coherent segments (small regions), which form the leaves of the SSeg-tree. Then, the method groups these segments based on well-defined spat...

Nowadays, people are constantly moving towards various fashion products as a result the e-commerce market for garments is growing rapidly. Online stores must update their features according to user requirements and preferences. However, there too many options users select from these online which may leave them in dilemma identify correct outfit, save time, increase sales, efficient recommendati...

Content-based filtering is a recommendation algorithm that analyzes user activity and profile data to provide personalized recommendations for content matches user's interests preferences. This widely used by social media platforms, such as Facebook Twitter, increase engagement satisfaction. The methodology of content-based involves creating based on recommending the interests. continually upda...